chore: clean code of PyExecutor #6445
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Signed-off-by: junq <[email protected]>
📝 WalkthroughWalkthroughThe update refactors repeated conditional logic involving Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~3 minutes Suggested reviewers
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🧹 Nitpick comments (1)
tensorrt_llm/_torch/pyexecutor/py_executor.py (1)
844-848: Add type hints & a brief docstring to the new helperMinor polish that helps downstream readers and static-type tooling.
- def _execute_guided_decoder(self, scheduled_batch, logits): - if self.guided_decoder is not None: - self.guided_decoder.build(scheduled_batch) - self.guided_decoder.execute(scheduled_batch, logits) + def _execute_guided_decoder( + self, + scheduled_batch: ScheduledRequests, + logits: Optional[torch.Tensor]) -> None: + """Invoke the guided decoder if it is present. + + Args: + scheduled_batch: Requests scheduled in this iteration. + logits: Model logits for those requests (may be None). + """ + if self.guided_decoder is not None: + self.guided_decoder.build(scheduled_batch) + self.guided_decoder.execute(scheduled_batch, logits)
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tensorrt_llm/_torch/pyexecutor/py_executor.py(4 hunks)
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**/*.py
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**/*.py: The code developed for TensorRT-LLM should conform to Python 3.8+.
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Files:
tensorrt_llm/_torch/pyexecutor/py_executor.py
**/*.{cpp,h,hpp,cc,cxx,cu,py}
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All TensorRT-LLM Open Source Software code should contain an NVIDIA copyright header that includes the current year. This includes .cpp, .h, .cu, .py, and any other source files which are compiled or interpreted.
Files:
tensorrt_llm/_torch/pyexecutor/py_executor.py
🧠 Learnings (1)
tensorrt_llm/_torch/pyexecutor/py_executor.py (1)
Learnt from: amitz-nv
PR: #5616
File: tensorrt_llm/executor/worker.py:375-384
Timestamp: 2025-07-17T09:01:27.402Z
Learning: In tensorrt_llm/executor/worker.py, the LoRA adapter cache optimization logic that checks is_adapter_in_cpu_cache() and conditionally passes None for weights/config has a known race condition issue that cannot be solved with simple error handling or verification checks. This is a known limitation that requires a more comprehensive solution.
🔇 Additional comments (4)
tensorrt_llm/_torch/pyexecutor/py_executor.py (4)
704-706: Helper extraction improves readability – no further action neededReplacing the three-line inline block with a call to
_execute_guided_decoder()keeps the hot path concise and removes duplication. Behaviour remains unchanged.
885-886: Consistent invocation across loops – looks goodThe main executor loop now delegates to the helper just created, keeping logic uniform with the PP loop.
894-896: Local definition ofctx_transmission_reqsis now guarded correctlyMoving the assignment inside the
if self.kv_cache_transceiverblock removes an unnecessary variable when disaggregated serving is disabled, with no observable side-effects elsewhere.
997-999: Overlap-scheduler path updated consistently – no concernsThe overlap scheduler branch now uses the common helper; extraction maintains behaviour and reduces duplication.
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PR_Github #13349 [ run ] triggered by Bot |
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/bot skip --comment "all passed except for GH200 due to shortage" |
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PR_Github #13487 [ skip ] triggered by Bot |
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PR_Github #13349 [ run ] completed with state |
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PR_Github #13487 [ skip ] completed with state |
Signed-off-by: junq <[email protected]> Signed-off-by: Lanyu Liao <[email protected]>
Signed-off-by: junq <[email protected]>
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