mirror of
https://github.com/zebrajr/pytorch.git
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c821b83ab3
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/55294 Some static checkers like pyre have difficulties with types like `builtings.type`, so we strip the `builtins` prefix from autogened proto type stubs. Test Plan: Let CI run. Reviewed By: d4l3k Differential Revision: D27477699 fbshipit-source-id: 45e19835974200a030817d37aec785e3ecb23e8b
64 lines
3.8 KiB
Python
64 lines
3.8 KiB
Python
"""
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@generated by mypy-protobuf. Do not edit manually!
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isort:skip_file
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"""
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import builtins
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import google.protobuf.descriptor
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import google.protobuf.message
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import typing
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import typing_extensions
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DESCRIPTOR: google.protobuf.descriptor.FileDescriptor = ...
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class PredictorConsts(google.protobuf.message.Message):
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DESCRIPTOR: google.protobuf.descriptor.Descriptor = ...
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META_NET_DEF_FIELD_NUMBER: int
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PREDICTOR_DBREADER_FIELD_NUMBER: int
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PARAMETERS_BLOB_TYPE_FIELD_NUMBER: int
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INPUTS_BLOB_TYPE_FIELD_NUMBER: int
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OUTPUTS_BLOB_TYPE_FIELD_NUMBER: int
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GLOBAL_INIT_NET_TYPE_FIELD_NUMBER: int
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PREDICT_INIT_NET_TYPE_FIELD_NUMBER: int
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PREDICT_NET_TYPE_FIELD_NUMBER: int
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SINGLE_PREDICTOR_FIELD_NUMBER: int
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MULTI_PREDICTOR_FIELD_NUMBER: int
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TRAIN_INIT_PLAN_TYPE_FIELD_NUMBER: int
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TRAIN_PLAN_TYPE_FIELD_NUMBER: int
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SHAPE_INFO_BLOB_FIELD_NUMBER: int
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DEFERRED_BLOB_READER_FIELD_NUMBER: int
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META_NET_DEF: typing.Text = ...
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PREDICTOR_DBREADER: typing.Text = ...
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PARAMETERS_BLOB_TYPE: typing.Text = ...
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INPUTS_BLOB_TYPE: typing.Text = ...
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OUTPUTS_BLOB_TYPE: typing.Text = ...
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GLOBAL_INIT_NET_TYPE: typing.Text = ...
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PREDICT_INIT_NET_TYPE: typing.Text = ...
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PREDICT_NET_TYPE: typing.Text = ...
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SINGLE_PREDICTOR: typing.Text = ...
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MULTI_PREDICTOR: typing.Text = ...
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TRAIN_INIT_PLAN_TYPE: typing.Text = ...
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TRAIN_PLAN_TYPE: typing.Text = ...
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SHAPE_INFO_BLOB: typing.Text = ...
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DEFERRED_BLOB_READER: typing.Text = ...
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def __init__(self,
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*,
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META_NET_DEF : typing.Optional[typing.Text] = ...,
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PREDICTOR_DBREADER : typing.Optional[typing.Text] = ...,
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PARAMETERS_BLOB_TYPE : typing.Optional[typing.Text] = ...,
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INPUTS_BLOB_TYPE : typing.Optional[typing.Text] = ...,
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OUTPUTS_BLOB_TYPE : typing.Optional[typing.Text] = ...,
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GLOBAL_INIT_NET_TYPE : typing.Optional[typing.Text] = ...,
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PREDICT_INIT_NET_TYPE : typing.Optional[typing.Text] = ...,
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PREDICT_NET_TYPE : typing.Optional[typing.Text] = ...,
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SINGLE_PREDICTOR : typing.Optional[typing.Text] = ...,
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MULTI_PREDICTOR : typing.Optional[typing.Text] = ...,
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TRAIN_INIT_PLAN_TYPE : typing.Optional[typing.Text] = ...,
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TRAIN_PLAN_TYPE : typing.Optional[typing.Text] = ...,
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SHAPE_INFO_BLOB : typing.Optional[typing.Text] = ...,
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DEFERRED_BLOB_READER : typing.Optional[typing.Text] = ...,
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) -> None: ...
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def HasField(self, field_name: typing_extensions.Literal[u"DEFERRED_BLOB_READER",b"DEFERRED_BLOB_READER",u"GLOBAL_INIT_NET_TYPE",b"GLOBAL_INIT_NET_TYPE",u"INPUTS_BLOB_TYPE",b"INPUTS_BLOB_TYPE",u"META_NET_DEF",b"META_NET_DEF",u"MULTI_PREDICTOR",b"MULTI_PREDICTOR",u"OUTPUTS_BLOB_TYPE",b"OUTPUTS_BLOB_TYPE",u"PARAMETERS_BLOB_TYPE",b"PARAMETERS_BLOB_TYPE",u"PREDICTOR_DBREADER",b"PREDICTOR_DBREADER",u"PREDICT_INIT_NET_TYPE",b"PREDICT_INIT_NET_TYPE",u"PREDICT_NET_TYPE",b"PREDICT_NET_TYPE",u"SHAPE_INFO_BLOB",b"SHAPE_INFO_BLOB",u"SINGLE_PREDICTOR",b"SINGLE_PREDICTOR",u"TRAIN_INIT_PLAN_TYPE",b"TRAIN_INIT_PLAN_TYPE",u"TRAIN_PLAN_TYPE",b"TRAIN_PLAN_TYPE"]) -> bool: ...
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def ClearField(self, field_name: typing_extensions.Literal[u"DEFERRED_BLOB_READER",b"DEFERRED_BLOB_READER",u"GLOBAL_INIT_NET_TYPE",b"GLOBAL_INIT_NET_TYPE",u"INPUTS_BLOB_TYPE",b"INPUTS_BLOB_TYPE",u"META_NET_DEF",b"META_NET_DEF",u"MULTI_PREDICTOR",b"MULTI_PREDICTOR",u"OUTPUTS_BLOB_TYPE",b"OUTPUTS_BLOB_TYPE",u"PARAMETERS_BLOB_TYPE",b"PARAMETERS_BLOB_TYPE",u"PREDICTOR_DBREADER",b"PREDICTOR_DBREADER",u"PREDICT_INIT_NET_TYPE",b"PREDICT_INIT_NET_TYPE",u"PREDICT_NET_TYPE",b"PREDICT_NET_TYPE",u"SHAPE_INFO_BLOB",b"SHAPE_INFO_BLOB",u"SINGLE_PREDICTOR",b"SINGLE_PREDICTOR",u"TRAIN_INIT_PLAN_TYPE",b"TRAIN_INIT_PLAN_TYPE",u"TRAIN_PLAN_TYPE",b"TRAIN_PLAN_TYPE"]) -> None: ...
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global___PredictorConsts = PredictorConsts
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