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This does a few things that were originally a few PRs but I am on a new machine and don't have ghstack. If it is too problematic to review, I can re-split, just let me know. This does: - Cleanup context manager use in test_flop_counter - Remove need for mod argument in FlopCounterMode, warning about it - Re-implement a Module tracker from scratch using global forward Module use and multi_grad_hook (we cannot use global backward Module hook because they don't look for nested Tensor and they're custom Function based instead of multi_grad_hook). - Update FlopCouterMode to use the new ModuleTracker. All the existing test suite passes as-is (only changes there are new tests and refactoring mentioned above) Pull Request resolved: https://github.com/pytorch/pytorch/pull/125352 Approved by: https://github.com/mikaylagawarecki
9 lines
440 B
ReStructuredText
9 lines
440 B
ReStructuredText
torch.utils.module_tracker
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===================================
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.. automodule:: torch.utils.module_tracker
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This utility can be used to track the current position inside an :class:`torch.nn.Module` hierarchy.
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It can be used within other tracking tools to be able to easily associate measured quantities to user-friendly names. This is used in particular in the FlopCounterMode today.
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.. autoclass:: torch.utils.module_tracker.ModuleTracker
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