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pytorch/torch/_thread_safe_fork.py
Sam Larsen 8bb8c3997b [inductor] parallel compile: add import of thread_safe_fork for internal (#137155)
Summary: We had a report of crashes in parallel compile subprocesses linked to reading justknobs. See https://fburl.com/workplace/14a4mcbh internally. This is a known issue with justknobs. It looks like we don't have a lot of control over evaluating knobs. Some are read in inductor (`"pytorch/remote_cache:autotune_memcache_version`), but many are read by the triton compiler. According to this advice https://fburl.com/workplace/imx9lsx3, we can import thread_safe_fork which installs some functionality to destroy some singletons before forking and re-enable them after. This apporach works for the failing workload.

Test Plan: See D63719673 where the reporting user was kind enough to provide us with a local repro. Without the relevant import, we can reproduce the crash. With the import, the training runs successfully to completion.

Differential Revision: D63736829

Pull Request resolved: https://github.com/pytorch/pytorch/pull/137155
Approved by: https://github.com/xmfan, https://github.com/eellison
2024-10-03 17:37:21 +00:00

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