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d542aab5c1
All quantization-related modules are being migrated to `torch.ao`. This migrates the `nn.intrinsic.modules`. Please, see the [tracker](https://github.com/pytorch/pytorch/issues/81667) for the timeline. Differential Revision: [D39419733](https://our.internmc.facebook.com/intern/diff/D39419733/) **NOTE FOR REVIEWERS**: This PR has internal Facebook specific changes or comments, please review them on [Phabricator](https://our.internmc.facebook.com/intern/diff/D39419733/)! Pull Request resolved: https://github.com/pytorch/pytorch/pull/84842 Approved by: https://github.com/jerryzh168
20 lines
499 B
Python
20 lines
499 B
Python
# We are exposing all subpackages to the end-user.
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# Because of possible inter-dependency, we want to avoid
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# the cyclic imports, thus implementing lazy version
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# as per https://peps.python.org/pep-0562/
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import importlib
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__all__ = [
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"intrinsic",
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"qat",
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"quantizable",
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"quantized",
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"sparse",
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]
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def __getattr__(name):
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if name in __all__:
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return importlib.import_module("." + name, __name__)
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raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
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