[https://nvbugs/5622938][fix] Use async send_requests_to_next_pp. #9041
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Signed-off-by: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com>
📝 WalkthroughWalkthroughThe Changes
Sequence Diagram(s)sequenceDiagram
participant PR as Pipeline Stage (Sender)
participant RQ as ExecutorRequestQueue
participant MPI as MPI Backend
Note over RQ: send_requests_handler = None
rect rgb(200, 230, 255)
Note over RQ: First _broadcast_new_requests call
PR->>RQ: _broadcast_new_requests(payload1)
RQ->>RQ: Wait on send_requests_handler (None, continue)
RQ->>MPI: isend_object(payload1) [non-blocking]
MPI-->>RQ: Handle1
RQ->>RQ: send_requests_handler = Handle1
end
Note over RQ: Handler1 pending...
rect rgb(200, 230, 255)
Note over RQ: Second _broadcast_new_requests call
PR->>RQ: _broadcast_new_requests(payload2)
RQ->>RQ: Wait on send_requests_handler (Handle1)
RQ->>MPI: Poll Handle1 (sync point)
RQ->>MPI: isend_object(payload2) [non-blocking]
MPI-->>RQ: Handle2
RQ->>RQ: send_requests_handler = Handle2
end
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes
Pre-merge checks and finishing touches❌ Failed checks (2 warnings)
✅ Passed checks (1 passed)
✨ Finishing touches
🧪 Generate unit tests (beta)
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tensorrt_llm/_torch/pyexecutor/executor_request_queue.py(2 hunks)
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**/*.{h,hpp,hh,hxx,cpp,cxx,cc,cu,cuh,py}
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tensorrt_llm/_torch/pyexecutor/executor_request_queue.py
**/*.py
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Files:
tensorrt_llm/_torch/pyexecutor/executor_request_queue.py
**/*.{cpp,cxx,cc,h,hpp,hh,hxx,cu,cuh,py}
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Files:
tensorrt_llm/_torch/pyexecutor/executor_request_queue.py
🧠 Learnings (1)
📓 Common learnings
Learnt from: pcastonguay
Repo: NVIDIA/TensorRT-LLM PR: 7455
File: tensorrt_llm/_torch/pyexecutor/py_executor.py:728-731
Timestamp: 2025-09-02T13:43:22.657Z
Learning: The user pcastonguay prefers creating dedicated handler classes to encapsulate complex subsystem logic rather than spreading it across the main class. For disaggregated pipeline parallel termination, they suggest creating a `_disagg_pp_termination_handler` with a `cleanup()` method instead of manually waiting on termination handles during shutdown.
🧬 Code graph analysis (1)
tensorrt_llm/_torch/pyexecutor/executor_request_queue.py (4)
tensorrt_llm/_utils.py (1)
nvtx_range(872-891)cpp/include/tensorrt_llm/runtime/utils/mpiUtils.h (1)
wait(228-236)tensorrt_llm/_torch/distributed/communicator.py (4)
wait(424-429)isend_object(373-374)isend_object(613-625)next_pp_rank(91-92)tensorrt_llm/mapping.py (1)
next_pp_rank(263-267)
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- GitHub Check: Pre-commit Check
🔇 Additional comments (1)
tensorrt_llm/_torch/pyexecutor/executor_request_queue.py (1)
69-69: LGTM: Clean initialization of the async send handler.The initialization of
send_requests_handlertoNoneis appropriate and follows the coding guideline for initializing all class members in the constructor.
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…IDIA#9041) Signed-off-by: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com>
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PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.
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