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[autograd Function] Don't materialize forward grad for non-differentiable types #91183
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…able types [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/91183
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 5963c94: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
zou3519
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LGTM. Needs a rebase though,
pytorch/test/functorch/test_ops.py
Line 1485 in f8b348c
| xfail('NumpySortAutogradFunction'), # https://github.com/pytorch/pytorch/issues/90067 |
…-differentiable types" [ghstack-poisoned]
…-differentiable types" [ghstack-poisoned]
…-differentiable types" [ghstack-poisoned]
…-differentiable types" [ghstack-poisoned]
|
@pytorchbot merge -g |
Merge startedYour change will be merged once all checks on your PR pass since you used the green (-g) flag (ETA: 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Stack from ghstack (oldest at bottom):