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[PyTorch] Reporting OOM events to the Pytorch Profiler. #80050
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This pull request was exported from Phabricator. Differential Revision: D36268132 |
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LGTM provided the benchmark shows no regression and OSS tests pass.
Thanks a lot for adding this.
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soulitzer can I get a review on this? Many thanks |
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Summary: Pull Request resolved: pytorch#80050 Similar to reporting alloc and dealloc events in the PyTorch profiler, we are now reporting Out of Memory events as well. This is useful for performance troubleshooting Test Plan: Added test_oom_tracing to test/test_profiler.py Reviewed By: robieta Differential Revision: D36268132 fbshipit-source-id: 443adac06feaa498796302b2b49073d3e7c8ef91
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@pytorchbot merge (Initiating merge automatically since Phabricator Diff has merged) |
@pytorchbot successfully started a merge job. Check the current status here |
Hey @c-odrin. |
Summary: Pull Request resolved: #80050 Similar to reporting alloc and dealloc events in the PyTorch profiler, we are now reporting Out of Memory events as well. This is useful for performance troubleshooting Test Plan: Added test_oom_tracing to test/test_profiler.py Reviewed By: robieta Differential Revision: D36268132 fbshipit-source-id: 6f58e168a97a7a7f66c324af1ee573c04a13baf3
Summary: Similar to reporting alloc and dealloc events in the PyTorch profiler, we are now reporting Out of Memory events as well. This is useful for performance troubleshooting
Test Plan: Added test_oom_tracing to test/test_profiler.py
Differential Revision: D36268132