[TRTLLM-9847][fix] WAR fix hanging fused allreduce. - #10087
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tensorrt_llm/_torch/auto_deploy/transform/library/sharding.py (1)
2612-2613: Consider adding logging when unprocessed nodes are skipped.The new conditional guard silently skips simple sharding of unprocessed linear nodes when
shard_all_unprocessedisFalse(the default). While this achieves the workaround goal, consider adding a debug log statement to make the behavior explicit.Apply this diff to add logging:
# simple shard remaining linear nodes if config.shard_all_unprocessed: num_simple_shards += _process_simple_shard(unprocessed_linear_nodes, transform_container) + else: + if len(unprocessed_linear_nodes) > 0: + ad_logger.debug( + f"Skipping simple shard for {len(unprocessed_linear_nodes)} unprocessed linear nodes " + f"(shard_all_unprocessed=False)" + )This helps with debugging and makes the behavior change more transparent.
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Repo: NVIDIA/TensorRT-LLM PR: 7910
File: cpp/tensorrt_llm/thop/allreduceOp.cpp:352-446
Timestamp: 2025-09-23T15:12:38.312Z
Learning: In TensorRT-LLM NCCL device allreduce implementation (cpp/tensorrt_llm/thop/allreduceOp.cpp), the goto pattern in runNCCLAllReduceDeviceFusion is intentionally used for future extensibility, allowing multiple switch cases to fallback to the default handler. While not aesthetically ideal, this pattern supports adding more fusion cases later that can reuse the same fallback logic.
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tensorrt_llm/llmapi/llm_args.py (1)
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tensorrt_llm/_torch/auto_deploy/config/default.yaml (1)
84-84: [Your rewritten review comment text here]
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LGTM. I don't think we should close the ticket though since it doesn't address the root cause
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Signed-off-by: greg-kwasniewski1 <213329731+greg-kwasniewski1@users.noreply.github.com> Signed-off-by: Daniil Kulko <kulkodaniil@gmail.com>
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Fixes #9847
This fixes the end effect (hangs on all-reduce fusion), but it doesn't address the root cause.
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