Allow specifiying inputs as GradientEdge in autograd APIs #110867
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/110867
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (2 Unrelated Failures)As of commit e89e513 with merge base a18b98f ( FLAKY - The following jobs failed but were likely due to flakiness present on trunk:
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albanD
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release notes: autograd
soulitzer
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Oct 9, 2023
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Thanks Alban! |
soulitzer
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Oct 10, 2023
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@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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This can be useful for advanced users (like AOTAutograd) who don't want to keep the corresponding Tensor alive (for memory reasons for example) or when inplace op will change the Tensor's grad_fn (but gradients wrt to the original value is needed).
I went minimal API change but open to suggestions.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @Xia-Weiwen @wenzhe-nrv @jiayisunx @peterbell10 @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @aakhundov @ColinPeppler