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### Summary: NOTE: This is a re-export of https://github.com/pytorch/pytorch/pull/161994 ; the changes between these two PRs is exclusively to the buck/build files (Summary from #161994 ) Attempted rebase of https://github.com/pytorch/pytorch/pull/143712. This reverts commit 6c713ccb5e0df227dd5b630057cbccd373cbe7d6. cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx chenyang78 kadeng chauhang amjames Lucaskabela imported-using-ghimport Test Plan: Imported from OSS Differential Revision: D81524507 Pulled By: Lucaskabela Pull Request resolved: https://github.com/pytorch/pytorch/pull/163769 Approved by: https://github.com/dolpm Co-authored-by: Brian Hirsh <hirsheybar@fb.com>
17 lines
566 B
Python
17 lines
566 B
Python
from torch import Tensor
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from torch.types import _bool
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# Defined in torch/csrc/functionalization/Module.cpp
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class ViewMeta:
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has_symbolic_inputs: _bool
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# Returns the list of ViewMeta instances of the given functional tensor.
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#
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# Although we do have python bindings for their types, we won't
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# expose them here, since they should not be used by users.
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def get_view_meta_sequence(tensor: Tensor) -> list[ViewMeta]: ...
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# Applies the ViewMeta sequence on top of the given base.
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def apply_view_meta_sequence(base: Tensor, sequence: list[ViewMeta]) -> Tensor: ...
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