[Test] Refactored the routed-experts replay tests by wuruiyun · Pull Request #52902 · vllm-project/vllm

wuruiyun · 2026-08-19T07:49:39Z

Purpose

One part of the RL CI Matrix for vLLM proposed by #45585. This PR adds end-to-end tests for the routed-experts capture-and-replay API (--enable-return-routed-experts) used for RL rollout replay, covering:

Capture correctness on both /v1/completions and /v1/chat/completions: decoded shape (num_forwarded_tokens, num_layers, top_k), valid expert IDs, rows == prompt + completion - 1 (the last sampled token has no routing), len(token_ids) == completion_tokens, and independence from return_token_ids
Replay identity: deterministic reruns reproduce tokens and routing exactly; the second run prefix-cache-hits the first run's blocks, so slot-buffer recovery is compared against live capture
Batch isolation: routing for a prompt is identical alone vs. in a concurrent mixed-length batch; duplicate prompts in one batch agree exactly
Scenario matrix: V1 and V2 (MRV2) model runners x eager and -O2 CUDA graphs, plus the flashinfer_trtllm monolithic MoE kernel path

The single-scenario test previously at tests/entrypoints/openai/test_return_routed_experts.py is consolidated into
tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py.

The tests reuse the shared server() harness from the rlhf conftest, which is extended with a required model parameter; --enforce-eager and --enable-sleep-mode are removed from the shared base args and passed by each test module instead (test_pause_resume.py keeps its previous behavior, with its model constant moved into the module). A SERVED_MODEL_NAME constant names the model on the HTTP API, so request-side helpers share it instead of hardcoding. The MoE model is overridable via VLLM_TEST_MOE_MODEL for offline/local checkpoints, and a minimal inline chat template is passed via --chat-template because tiny-mixtral's tokenizer defines none (required by transformers >=
4.44).

Test Plan

Test Matrix

Priority	Test Case	Main Coverage
P0	test_capture_shape_and_range	Shape/range, token_ids/completion alignment on completions and chat; return_token_ids on/off
P0	test_replay_identity	Deterministic rerun (slot-buffer recovery via prefix cache)
P0	test_batch_isolation	Routing identical alone vs. concurrent mixed-length batch; duplicate prompts agree

Scenario Matrix (module-scoped parametrized server fixture, 5 startups total)

Server config	Runner	Exec mode	MoE kernel
v1-eager	V1	eager (`--enforce-eager` via extra_args)	modular (Triton, default)
v1-graph	V1	-O2 CUDA graphs (vLLM default)	modular
v1-monolithic-eager	V1	eager	monolithic (flashinfer_trtllm); skipped unless flashinfer TRTLLM kernels are available on Blackwell (SM100)
mrv2-eager	MRV2 (`VLLM_USE_V2_MODEL_RUNNER=1`)	eager	modular
mrv2-graph	MRV2	-O2 CUDA graphs	modular

Speed & Stability

Module-scoped server fixture: each configuration starts one server reused by all three tests (5 startups for the whole module), each on its own port via get_open_port() since the module-scoped servers coexist.
Greedy decoding (temperature=0) + ignore_eos for the identity comparisons keeps reruns byte-identical; determinism does not depend on a server seed.
Every response is validated in a single parse path (_parse): shape, expert ID range, forwarded-token row count, and token_ids/completion alignment.
The monolithic skipif mirrors TrtLlmBf16Experts._supports_current_device (CUDA + SM100 + has_flashinfer_trtllm_fused_moe()), so unsupported environments skip instead of failing at server startup.

Test Result

H100 single card:

============================= test session starts ==============================
platform linux -- Python 3.10.20, pytest-9.0.3, pluggy-1.6.0 -- /data/anaconda3/envs/wry/bin/python
cachedir: .pytest_cache
rootdir: /data/w00943941/vllm
configfile: pyproject.toml
plugins: anyio-4.12.1
collecting ... collected 15 items

tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[v1-eager] PASSED
tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_replay_identity[v1-eager] PASSED
tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_batch_isolation[v1-eager] PASSED
tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[v1-graph] PASSED
tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_replay_identity[v1-graph] PASSED
tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_batch_isolation[v1-graph] PASSED
tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[v1-monolithic-eager] SKIPPED
tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_replay_identity[v1-monolithic-eager] SKIPPED
tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_batch_isolation[v1-monolithic-eager] SKIPPED
tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[mrv2-eager] PASSED
tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_replay_identity[mrv2-eager] PASSED
tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_batch_isolation[mrv2-eager] PASSED
tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[mrv2-graph] PASSED
tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_replay_identity[mrv2-graph] PASSED
tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_batch_isolation[mrv2-graph] PASSED

============================== slowest durations ===============================
121.41s setup    tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[v1-graph]
119.82s setup    tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[mrv2-graph]
113.48s setup    tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[mrv2-eager]
97.40s setup    tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[v1-eager]
1.03s teardown tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_batch_isolation[mrv2-graph]
1.03s call     tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[v1-eager]
0.98s call     tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_batch_isolation[v1-eager]
0.68s setup    tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[v1-monolithic-eager]
0.43s teardown tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[v1-eager]
0.40s teardown tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[mrv2-eager]
0.40s teardown tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_batch_isolation[mrv2-eager]
0.39s teardown tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_batch_isolation[v1-eager]
0.35s teardown tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_replay_identity[mrv2-graph]
0.35s teardown tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[v1-graph]
0.34s teardown tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_replay_identity[v1-graph]
0.33s teardown tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[mrv2-graph]
0.29s teardown tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_replay_identity[v1-eager]
0.27s teardown tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_replay_identity[mrv2-eager]
0.26s teardown tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_batch_isolation[v1-graph]
0.24s call     tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[mrv2-eager]
0.19s call     tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_batch_isolation[mrv2-eager]
0.18s call     tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[mrv2-graph]
0.17s call     tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_capture_shape_and_range[v1-graph]
0.14s call     tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_batch_isolation[mrv2-graph]
0.13s call     tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_batch_isolation[v1-graph]
0.12s call     tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_replay_identity[mrv2-eager]
0.11s call     tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_replay_identity[v1-eager]
0.09s call     tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_replay_identity[v1-graph]
0.09s call     tests/entrypoints/serve/dev/rlhf/consistency/test_routed_experts.py::test_replay_identity[mrv2-graph]

(13 durations < 0.005s hidden.  Use -vv to show these durations.)
============ 12 passed, 3 skipped in 461.14s (0:07:41) ============

Essential Elements of an Effective PR Description Checklist

The purpose of the PR, such as "Fix some issue (link existing issues this PR will resolve)".
The test plan, such as providing test command.
The test results, such as pasting the results comparison before and after, or e2e results
(Optional) The necessary documentation update, such as updating supported_models.md and examples for a new model.

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github-actions · 2026-08-19T07:55:00Z

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Ronald1995 · 2026-08-19T09:31:29Z

+    return np.load(io.BytesIO(base64.b64decode(encoded)))
+
+
+def assert_valid_routed_experts(


move this to test_routed_experts.py

Ronald1995 · 2026-08-19T09:31:39Z

+    return RemoteOpenAIServer(MOE_MODEL_NAME, args, env_dict=env_dict)
+
+
+def decode_routed_experts(encoded: str | None) -> np.ndarray:


move this to test_routed_experts.py

Ronald1995 · 2026-08-19T09:32:16Z

+MOE_NUM_HIDDEN_LAYERS = 2
+
+
+def routed_experts_server(


there is already a server method in conftest.

mergify · 2026-09-02T06:46:19Z

This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @wuruiyun.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

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Ronald1995 · 2026-09-08T01:10:02Z

Implemented the consolidation described in RFC #55421 (follow-up to #45585) and pushed 2a31dc61a457443d83b3d40512c9a59e0dcf626d to this PR branch.

Restore the existing single-GPU OpenAI and token-in/token-out frontend tests to their original files.
Replace the reduced dummy-model shape-only matrix with a real tiny-Mixtral lifecycle test: exact token/row alignment, integer/range/distinct top-k checks, cached prompt capture reuse, and post-sleep routing/output recovery.
Cover MRV1/MRV2 eager plus MRV2 graphs. Preserve TP2/DP2 token-in/token-out capture in a separate four-GPU job, checking complete row alignment there too.
This is capture/lifecycle consistency, not training-side routing replay or cross-batch numerical invariance. Model/backend-specific expansion and actual replay remain separate work.

Shared harness and docstring ownership changes are coordinated across #54930, #53541, #51350, #52864 and #52902. The merged pause/resume suite also gets bounded client-thread waits and preserved request exceptions. Product metrics are split into draft #55781.

Validation: final PR files passed Ruff 0.14.0, AST/YAML/diff checks and applicable pre-commit hooks including mypy. The Dockerfile-graph script was run separately with Git Bash on Windows. All six branches were also combined locally without conflicts, with the two/four/four-GPU job assignments checked. Checker + metrics pure-module tests passed together: 11 passed, using source-loaded modules to bypass unavailable Windows package initialization.

Not validated: normal vLLM package collection is blocked locally by missing uvloop; no GPU or model-evaluation runs were performed. The newly configured Linux/GPU lanes still need to run before merge. Routing replay and backend/model expansion remain separate coverage gaps, not claimed by these tests.

AI assistance was used; human review and Linux/GPU validation of the final diff remain required.

Ronald1995 · 2026-09-08T01:17:08Z

Scope correction pushed in edb544c8bc1052998e2288ad04774bb34a71aa4e.

The earlier mainline synchronization accidentally included unrelated changes from a local tracking reference that did not match the PR's actual upstream base. Those changes have now been removed from the final PR diff:

tests/kernels/moe/test_b12x.py
tests/models/test_initialization.py
tests/v1/kv_connector/unit/test_mooncake_store_scheduler.py
vllm/distributed/kv_transfer/kv_connector/v1/mooncake/store/scheduler.py
vllm/model_executor/layers/fused_moe/oracle/mxfp4.py

I verified the five files against the immutable upstream merge-base 6fbb00b18874e27ba7d7adc0a3b8e93fee763ab1 and then checked GitHub's actual head SHA and Files changed list after pushing: this PR now contains exactly 7 intended files. The RL changes themselves are unchanged. This correction uses an additive cleanup commit; it does not rewrite contributor history.

This corrects the earlier scope-validation claim. No new GPU execution results are claimed.

Ronald1995 · 2026-09-10T01:54:11Z

Fixed in c83723671d by making server_url function-scoped.

The relevant ordering is between the server fixture and vLLM's function-scoped autouse cleanup in tests/conftest.py. With a module-scoped live server, per-test cleanup runs while the RemoteOpenAIServer subprocess still owns GPU memory. With a function-scoped server fixture, its context manager exits first, terminates the process tree, and waits for GPU memory release before global cleanup completes.

This does not increase server startups in the current file: server_url has exactly one consuming test, so the three runner parameters still create exactly three servers. A comment now records the teardown requirement. If this scenario is later split into multiple test functions, sharing one live server would also require an explicit cleanup-ownership design; changing the scope back alone is unsafe.

Validation: the changed file passed the full applicable pre-commit hooks, including Ruff and mypy. GPU execution was not available locally.

Signed-off-by: wuruiyun <1251540982@qq.com>

…rage Signed-off-by: Ronald1995 <ronaldautomobile@163.com>

Signed-off-by: Ronald1995 <ronaldautomobile@163.com>

Signed-off-by: wuruiyun <1251540982@qq.com>

mergify · 2026-09-26T13:46:54Z

This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @wuruiyun.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

wuruiyun requested review from AndreasKaratzas, DarkLight1337, NickLucche, aarnphm and robertgshaw2-redhat as code owners August 19, 2026 07:49

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wuruiyun marked this pull request as draft August 19, 2026 09:40

wuruiyun force-pushed the router_tests branch 2 times, most recently from 8046b23 to f95f324 Compare August 25, 2026 12:10

wuruiyun changed the title ~~Router tests~~ [Test] Refactored the routed-experts replay tests Aug 26, 2026

wuruiyun force-pushed the router_tests branch from 48b158a to a45d154 Compare August 27, 2026 12:14

mergify Bot added the needs-rebase label Sep 2, 2026

wuruiyun force-pushed the router_tests branch from 4301891 to df0f219 Compare September 4, 2026 07:31

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Ronald1995 mentioned this pull request Sep 5, 2026

[RFC] RL Test Consolidation: File Ownership, Coverage Docstrings, and CI Integration #55421

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ShuoleiWang mentioned this pull request Sep 6, 2026

[RFC]: R3 support for prefill/decode disaggregation #55584

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Ronald1995 mentioned this pull request Sep 8, 2026

[Test] Add pause/resume E2E tests #52144

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wuruiyun and others added 11 commits September 17, 2026 16:16

[Test] Refactored the routed-experts replay tests

784d19b

Signed-off-by: wuruiyun <1251540982@qq.com>

[Test] Refactored the routed-experts replay tests

a0fef64

Signed-off-by: wuruiyun <1251540982@qq.com>

[Test] Refactored the routed-experts replay tests

666b5f4

Signed-off-by: wuruiyun <1251540982@qq.com>

[Test] Refactored the routed-experts replay tests

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Signed-off-by: wuruiyun <1251540982@qq.com>

[Test] Refactored the routed-experts replay tests

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Signed-off-by: wuruiyun <1251540982@qq.com>

[Test] Refactored the routed-experts replay tests

2a459ca

Signed-off-by: wuruiyun <1251540982@qq.com>

Test routing alignment across RL lifecycle and preserve frontend cove…

ade794f

…rage Signed-off-by: Ronald1995 <ronaldautomobile@163.com>

Remove unrelated changes from RL consolidation PR

f9ba041

Signed-off-by: Ronald1995 <ronaldautomobile@163.com>

Tear down routed experts servers before global cleanup

bca66bc

Signed-off-by: Ronald1995 <ronaldautomobile@163.com>

Fix reusable server cleanup ordering

5ef7c35

Signed-off-by: Ronald1995 <ronaldautomobile@163.com>

[Test] Refactored the routed-experts replay tests

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Signed-off-by: wuruiyun <1251540982@qq.com>

wuruiyun force-pushed the router_tests branch from e0544de to ff24198 Compare September 17, 2026 09:11

wuruiyun requested review from ApostaC, WoosukKwon, ivanium, mgoin, orozery, pavanimajety, tlrmchlsmth, xuechendi, yewentao256, ywang96 and zyongye as code owners September 17, 2026 09:11

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mergify Bot added needs-rebase mooncake Mooncake KV-transfer / EC-transfer labels Sep 26, 2026

aoshen02 mentioned this pull request Oct 4, 2026

[CI][RL] Consolidate RL entrypoint tests under tests/entrypoints/rl #59948

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This was referenced Oct 13, 2026

[Bugfix][MoE] Restore TP-sharded routed-expert capture for DP=1 #61388

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[Bugfix][MoE] Keep routing rows during DeepSeek V4.1 decoder replay #61643

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[Test] Refactored the routed-experts replay tests - #52902

[Test] Refactored the routed-experts replay tests#52902
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		return np.load(io.BytesIO(base64.b64decode(encoded)))


		def assert_valid_routed_experts(

		return RemoteOpenAIServer(MOE_MODEL_NAME, args, env_dict=env_dict)


		def decode_routed_experts(encoded: str \| None) -> np.ndarray:

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