[None][fix] Fix Backend's CUDA graph pool handle lifetime - #16995
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lori-ren wants to merge 1 commit into
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[None][fix] Fix Backend's CUDA graph pool handle lifetime#16995lori-ren wants to merge 1 commit into
lori-ren wants to merge 1 commit into
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Signed-off-by: Lori Ren <lorir@nvidia.com>
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/bot run |
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PR_Github #62451 [ run ] triggered by Bot. Commit: |
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#16952 is fixing the same issue. |
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/bot kill |
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I see, closing this PR as duplicated |
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PR_Github #62466 [ ] completed with state |
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PR_Github #62451 [ run ] completed with state
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@coderabbitai summary
Description
Backend._graph_pool_handle is a class attribute, created once per process and never reset. With torch.compile on, the decode CUDA graph runner uses it, but on engine teardown _release_cuda_graphs() resets the graphs, dropping the pool's use_count to 0, creating danling handle in Backend. If a second engine is built in the same process — e.g. pytest reusing the MPI worker pool across cases — it passes that dead pool id to graph capture and trips use_count > 0 INTERNAL ASSERT FAILED.
Fix: make the handle per-instance, so each engine starts from a fresh pool. Sharing within one engine is unchanged. Verified on 4×H100: the full test_fp8_4gpus sweep in one pytest process now passes, GSM8K accuracy unchanged.
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