Gufan Yin e6ba4d0725 Back out "Do not decompose in functionalization/proxy tensor if autograd wouldn't have decomposed (#164939)" (#165910) ... Summary: Original commit changeset: d6d62d0c96dd Original Phabricator Diff: D84468451 and D84613184 D84468451 caused CUDA OutOfMemoryError in model. Test Plan: D84468451 was found through bisect. Also double checked on recent trunk 9866939225248c2adc307be7a804b26db0b9b555: f815887517 With this diff that backs out D84468451 and D84613184 : f816114560 Differential Revision: D85025378 Pull Request resolved: https://github.com/pytorch/pytorch/pull/165910 Approved by: https://github.com/clee2000		2025-10-21 16:36:38 +00:00
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__init__.py	Back out "Do not decompose in functionalization/proxy tensor if autograd wouldn't have decomposed (#164939)" (#165910)	2025-10-21 16:36:38 +00:00
decompositions_for_jvp.py	Enable all PIE rules on ruff (#165814)	2025-10-18 07:36:18 +00:00
decompositions_for_rng.py	[5/N] Apply ruff UP035 rule (#164423)	2025-10-02 07:31:11 +00:00
decompositions.py	Back out "Do not decompose in functionalization/proxy tensor if autograd wouldn't have decomposed (#164939)" (#165910)	2025-10-21 16:36:38 +00:00