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b430347a60
Summary: - `torch._VF` is a hack to work around the lack of support for `torch.functional` in the JIT - that hack hides `torch._VF` functions from Mypy - could be worked around by re-introducing a stub file for `torch.functional`, but that's undesirable - so instead try to make both happy at the same time: the type ignore comments are needed for Mypy, and don't seem to affect the JIT after excluding them from the `get_type_line()` logic Encountered this issue while trying to make `mypy` run on `torch/functional.py` in gh-43446. Pull Request resolved: https://github.com/pytorch/pytorch/pull/43454 Reviewed By: glaringlee Differential Revision: D23305579 Pulled By: malfet fbshipit-source-id: 50e490693c1e53054927b57fd9acc7dca57e88ca
30 lines
656 B
Python
30 lines
656 B
Python
"""
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This makes the functions in torch._C._VariableFunctions available as
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torch._VF.<funcname>
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without mypy being able to find them.
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A subset of those functions are mapped to ATen functions in
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torch/jit/_builtins.py
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See https://github.com/pytorch/pytorch/issues/21478 for the reason for
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introducing torch._VF
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"""
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import torch
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import sys
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import types
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class VFModule(types.ModuleType):
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vf: types.ModuleType
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def __init__(self, name):
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super(VFModule, self).__init__(name)
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self.vf = torch._C._VariableFunctions
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def __getattr__(self, attr):
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return getattr(self.vf, attr)
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sys.modules[__name__] = VFModule(__name__)
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