[https://nvbugs/5508267][fix] Proper handling of inactive canceled requests #9280
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Signed-off-by: thorjohnsen <[email protected]>
📝 WalkthroughWalkthroughModified canceled request handling in PyExecutor to use set-based lookups for O(1) performance, introduced Changes
Sequence Diagram(s)sequenceDiagram
participant Executor
participant CanceledHandling as _handle_canceled_requests
participant CancelLogic as _try_cancel_request
participant Queue as executor_request_queue
Executor->>CanceledHandling: Process canceled requests
CanceledHandling->>CanceledHandling: Build set of canceled IDs (O(1))
loop For each canceled request
CanceledHandling->>CancelLogic: Attempt cancellation
alt Cancellation succeeds
CancelLogic-->>CanceledHandling: Success
CanceledHandling->>CanceledHandling: Mark CANCELLED, reset decoding_iter
else Cancellation fails
CancelLogic-->>CanceledHandling: Pending
CanceledHandling->>CanceledHandling: Record in still_pending_canceled_ids
end
end
alt enable_attention_dp is false
CanceledHandling->>Queue: Preserve only still_pending_canceled_ids
else enable_attention_dp is true
CanceledHandling->>Queue: Clear all canceled IDs
end
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes
Pre-merge checks and finishing touches❌ Failed checks (1 inconclusive)
✅ Passed checks (2 passed)
✨ Finishing touches
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Actionable comments posted: 2
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📒 Files selected for processing (1)
tensorrt_llm/_torch/pyexecutor/py_executor.py(1 hunks)
🧰 Additional context used
🧠 Learnings (1)
📚 Learning: 2025-08-19T12:45:11.997Z
Learnt from: amitz-nv
Repo: NVIDIA/TensorRT-LLM PR: 7033
File: tensorrt_llm/_torch/pyexecutor/model_engine.py:0-0
Timestamp: 2025-08-19T12:45:11.997Z
Learning: In tensorrt_llm/_torch/pyexecutor/model_engine.py, DoRA (Delta Orthogonal Rank Adaptation) functionality was removed from the PyTorch flow to eliminate issues with inverted DoRA detection logic. The original is_dora condition was checking if scaling_vec_pointer == 0, which was potentially incorrect.
Applied to files:
tensorrt_llm/_torch/pyexecutor/py_executor.py
🧬 Code graph analysis (1)
tensorrt_llm/_torch/pyexecutor/py_executor.py (1)
tensorrt_llm/_torch/pyexecutor/executor_request_queue.py (2)
get_canceled_req_ids(762-763)clear_canceled_req_ids(765-766)
🔇 Additional comments (2)
tensorrt_llm/_torch/pyexecutor/py_executor.py (2)
1770-1771: Good optimization: set-based lookup for O(1) performance.Converting the canceled request IDs list to a set improves membership testing from O(n) to O(1), which is beneficial when checking many active requests.
1776-1777: Improved clarity: explicit early exit for non-canceled requests.The explicit check and early
continuefor non-canceled requests improves code readability and performance by avoiding unnecessary processing.
Signed-off-by: thorjohnsen <[email protected]>
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Signed-off-by: thorjohnsen <[email protected]>
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…nsorRT-LLM into user/tjohnsen/fix_5508267 .
Signed-off-by: thorjohnsen <[email protected]>
Signed-off-by: thorjohnsen <[email protected]>
…nsorRT-LLM into user/tjohnsen/fix_5508267 .
Signed-off-by: thorjohnsen <[email protected]>
Signed-off-by: thorjohnsen <[email protected]>
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4 participants
Summary by CodeRabbit
Bug Fixes
Performance
Description
A client observed a gradual slowdown of server speed during normal operation. The slowdown was root caused to failed requests, each failed request was added to a list of canceled request ids and never removed from it, hence the list of canceled request ids would grow longer and longer with each failed request. The implemented fix is to retain only active requests that have not been canceled yet at the end of _handle_canceled_requests(...).
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Please check this after reviewing the above items as appropriate for this PR.
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