Multihooks should not keep tensor alive in closure #102859
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/102859
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 8e8edde: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
This was referenced Jun 2, 2023
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release notes: autograd
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Pull Request resolved: pytorch#102859 Approved by: https://github.com/albanD
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This PR makes a first attempt at improving FSDP's fine-tuning support by adding hooks to reshard frozen parameters in the backward pass. - Without this, frozen parameters involved in gradient computation are kept as unsharded through the entire backward pass. - The approach is to register a multi-grad ~~post~~-hook on the _input_ activations to the FSDP module, where the hook performs the resharding after all gradients for the FSDP module must have been computed (meaning that we are safe to reshard). ~~This PR relies on adding a "multi-grad post-hook" that differs from the existing "multi-grad hook" from `register_multi_grad_hook()`. I find that with `register_multi_grad_hook()`, sometimes the unit test counting the number of times `_post_backward_reshard()` is called fails (due to it not being called).~~ This was resolved in #102859. Pull Request resolved: #101982 Approved by: https://github.com/rohan-varma
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