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@reasonsolo reasonsolo commented Aug 18, 2025

…eadlock

Summary by CodeRabbit

  • Bug Fixes

    • Improved stability for pipeline-parallel runs by ensuring outstanding non-blocking sends complete before progressing, reducing rare stalls during multi-rank shutdown.
  • Tests

    • Added opt-in NVIDIA Nsight Systems profiling for disaggregated integration tests (enable via NSYS_PATH and NSYS_FILE); when enabled, profiling wraps the mpirun worker invocation.
  • Chores

    • No changes to public APIs or user-facing configuration.

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@reasonsolo reasonsolo requested a review from a team as a code owner August 18, 2025 03:27
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Review failed

The head commit changed during the review from 6affc99 to 1f3cb40.

📝 Walkthrough

Walkthrough

Adds wait() calls on stored non-blocking send handles at the end of PyExecutor's per-pipeline-parallel loop. Updates an integration test to optionally prefix the MPI worker launch with NVIDIA NSYS profiling when NSYS_PATH and NSYS_FILE are set; otherwise worker invocation is unchanged.

Changes

Cohort / File(s) Summary of Changes
Executor send-handle synchronization
tensorrt_llm/_torch/pyexecutor/py_executor.py
At the end of the per-PP executor loop (PyExecutor._executor_loop_pp), iterates over self.send_handles and calls wait() on each non-None handle to ensure non-blocking sends complete before continuing. No API/signature changes.
Integration test: optional NSYS profiling
tests/integration/defs/disaggregated/test_disaggregated.py
Adds optional NSYS profiling wrapper around mpirun when NSYS_PATH and NSYS_FILE are set; builds nsys profile --trace cuda,cublas,nvtx --output NSYS_FILE --force-overwrite=true and prefixes the worker launch (workers_cmd = nsys_cmd + ['mpirun', '--allow-run-as-root', '--oversubscribe', '-n', ...]). If either env var is missing, nsys_cmd is empty and behavior is unchanged. Removed -v from the mpirun invocation in the constructed command.

Sequence Diagram(s)

sequenceDiagram
  participant Prev as Prev batch & stats
  participant Exec as PyExecutor._executor_loop_pp
  participant Handles as send_handles
  participant Next as Next iteration

  Prev->>Exec: finish processing previous batch & stats
  Exec->>Handles: iterate send_handles
  loop for each handle
    Exec->>Handles: handle.wait() if handle != None
  end
  Handles-->>Exec: all sends completed
  Exec->>Next: continue loop
Loading
sequenceDiagram
  participant Test as test_disaggregated
  participant Env as Environment
  participant NSYS as nsys
  participant MPI as mpirun workers

  Test->>Env: read NSYS_PATH & NSYS_FILE
  alt profiling enabled
    Test->>NSYS: build nsys profile command
    NSYS->>MPI: prefix mpirun with nsys (nsys_cmd + mpirun ...)
    MPI-->>Test: execute workers under NSYS
  else profiling disabled
    Test->>MPI: execute mpirun workers (no nsys prefix)
  end
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Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

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  • syuoni
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Actionable comments posted: 0

🧹 Nitpick comments (3)
tensorrt_llm/_torch/pyexecutor/py_executor.py (1)

852-855: Good fix: drain outstanding isends at loop exit to prevent PP hang. Add minor hardening.

Waiting on all non-None send handles here is the right move to avoid leaving downstream ranks blocked in recv when an upstream rank exits early.

Consider a small robustness tweak to avoid leaving stale handles and to log MPI errors rather than failing the whole worker on shutdown:

Apply this diff:

-        for req in self.send_handles:
-            if req is not None:
-                req.wait()
+        for i, req in enumerate(self.send_handles):
+            if req is None:
+                continue
+            try:
+                req.wait()
+            except Exception as e:
+                # Best-effort cleanup on shutdown; don't crash the worker
+                logger.warning(f"Error while waiting on pending send (slot {i}): {e}")
+            finally:
+                self.send_handles[i] = None
tests/integration/defs/disaggregated/test_disaggregated.py (2)

159-165: NSYS_PATH is ignored; use it to locate the nsys binary.

You read NSYS_PATH but always invoke "nsys" from PATH. Respect NSYS_PATH (allowing either a directory or full binary path) so profiling works in hermetic environments.

Apply this diff:

-    nsys_path = os.getenv("NSYS_PATH", None)
-    nsys_file = os.getenv("NSYS_FILE", None)
-    nsys_cmd = [
-        "nsys", "profile", "--trace", "cuda,cublas,nvtx", "--output", nsys_file, 
-        "--force-overwrite", "true", "--duration", "180",  
-    ] if nsys_path and nsys_file else []
+    nsys_path = os.getenv("NSYS_PATH", None)
+    nsys_file = os.getenv("NSYS_FILE", None)
+    if nsys_path and nsys_file:
+        nsys_exe = os.path.join(nsys_path, "nsys") if os.path.isdir(nsys_path) else nsys_path
+        nsys_cmd = [
+            nsys_exe, "profile", "--trace", "cuda,cublas,nvtx", "--output", nsys_file,
+            "--force-overwrite", "true", "--duration", "180",
+        ]
+    else:
+        nsys_cmd = []

169-173: mpirun -v enabled unconditionally; gate it to profiling-only.

As written, mpirun’s verbose flag is always on. That’s noisy and can bloat CI logs. Enable it only when profiling is active.

Apply this diff:

-    workers_cmd = nsys_cmd + [
-        'mpirun', '-v', '--allow-run-as-root', '--oversubscribe', '-n',
-        str(num_ranks), 'trtllm-serve', 'disaggregated_mpi_worker', '-c',
-        config_file
-    ]
+    workers_cmd = (
+        nsys_cmd + [
+            'mpirun', '-v', '--allow-run-as-root', '--oversubscribe', '-n',
+            str(num_ranks), 'trtllm-serve', 'disaggregated_mpi_worker', '-c', config_file
+        ]
+    ) if nsys_cmd else [
+        'mpirun', '--allow-run-as-root', '--oversubscribe', '-n',
+        str(num_ranks), 'trtllm-serve', 'disaggregated_mpi_worker', '-c', config_file
+    ]
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Reviewing files that changed from the base of the PR and between 96bda14 and af23804.

📒 Files selected for processing (2)
  • tensorrt_llm/_torch/pyexecutor/py_executor.py (1 hunks)
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@reasonsolo reasonsolo force-pushed the bug5448767 branch 3 times, most recently from 9aba239 to f04fed7 Compare August 18, 2025 04:46
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/bot run

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PR_Github #15588 [ run ] triggered by Bot

@Shixiaowei02 Shixiaowei02 requested a review from Tabrizian August 18, 2025 08:18
@Tabrizian Tabrizian requested a review from amukkara August 18, 2025 20:25
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PR_Github #15588 [ run ] completed with state SUCCESS
/LLM/release-1.0/L0_MergeRequest_PR pipeline #172 completed with status: 'FAILURE'

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PR_Github #15878 [ run ] triggered by Bot

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PR_Github #15879 [ run ] triggered by Bot

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PR_Github #15880 [ ] completed with state ABORTED

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PR_Github #15878 [ run ] completed with state ABORTED

@reasonsolo reasonsolo changed the title [https://nvbugs/5448767][fix] fix a mpi4py deadlock in pp event-loop [https://nvbugs/5448767][fix] fix mpi4py and cuda.Event deadlocks in pp event-loop Aug 20, 2025
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PR_Github #15883 [ run ] triggered by Bot

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I'm not sure the changes to synchronize the sampler right after _sample_async make sense. @Tabrizian @amukkara do you agree?

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PR_Github #16389 [ run ] completed with state SUCCESS
/LLM/release-1.0/L0_MergeRequest_PR pipeline #290 completed with status: 'FAILURE'

…eadlock; synchronize sampler right after async calls to avoid hang

Signed-off-by: Lizhi Zhou <[email protected]>
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PR_Github #16428 [ run ] triggered by Bot

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PR_Github #16428 [ run ] completed with state SUCCESS
/LLM/release-1.0/L0_MergeRequest_PR pipeline #294 completed with status: 'SUCCESS'

…eadlock; synchronize sampler right after async calls to avoid hang

Signed-off-by: Lizhi Zhou <[email protected]>
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PR_Github #16497 [ run ] triggered by Bot

@MartinMarciniszyn MartinMarciniszyn enabled auto-merge (squash) August 26, 2025 07:11
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PR_Github #16497 [ run ] completed with state SUCCESS
/LLM/release-1.0/L0_MergeRequest_PR pipeline #307 completed with status: 'FAILURE'

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/bot run --reuse-test

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PR_Github #16617 [ run ] triggered by Bot

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PR_Github #16617 [ run ] completed with state SUCCESS
/LLM/release-1.0/L0_MergeRequest_PR pipeline #318 completed with status: 'SUCCESS'

@MartinMarciniszyn MartinMarciniszyn merged commit 0fa49c5 into NVIDIA:release/1.0 Aug 27, 2025
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8 participants