pytorch

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"""
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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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