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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/38080 Originally, my plan was to just delete the torch.autograd stub, but this triggered a bunch of downstream errors relating to non-existent to _C modules, and so instead of ignoring those files, I decided to add a minimal _C type stubs, where it was easy (cases which were codegened I ignored). Signed-off-by: Edward Z. Yang <ezyang@fb.com> Test Plan: Imported from OSS Differential Revision: D21487841 Pulled By: ezyang fbshipit-source-id: cfcc467ff1c146d242cb9ff33a46ba26b33b8213
37 lines
633 B
Python
37 lines
633 B
Python
# Defined in torch/csrc/onnx/init.cpp
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from enum import Enum
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PYTORCH_ONNX_CAFFE2_BUNDLE: bool
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IR_VERSION: int
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PRODUCER_VERSION: str
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class TensorProtoDataType(Enum):
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UNDEFINED = ...
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FLOAT = ...
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UINT8 = ...
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INT8 = ...
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UINT16 = ...
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INT16 = ...
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INT32 = ...
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INT64 = ...
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STRING = ...
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BOOL = ...
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FLOAT16 = ...
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DOUBLE = ...
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UINT32 = ...
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UINT64 = ...
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COMPLEX64 = ...
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COMPLEX128 = ...
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class OperatorExportTypes(Enum):
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ONNX = ...
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ONNX_ATEN = ...
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ONNX_ATEN_FALLBACK = ...
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RAW = ...
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class TrainingMode(Enum):
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EVAL = ...
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PRESERVE = ...
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TRAINING = ...
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