mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 00:21:07 +01:00
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
161 lines
7.1 KiB
Python
161 lines
7.1 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 caffe2.proto.caffe2_pb2
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import google.protobuf.descriptor
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import google.protobuf.internal.containers
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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 ModelInfo(google.protobuf.message.Message):
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DESCRIPTOR: google.protobuf.descriptor.Descriptor = ...
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PROJECT_FIELD_NUMBER: int
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MODELCLASS_FIELD_NUMBER: int
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VERSION_FIELD_NUMBER: int
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PREDICTORTYPE_FIELD_NUMBER: int
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MODELID_FIELD_NUMBER: int
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project: typing.Text = ...
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modelClass: typing.Text = ...
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version: typing.Text = ...
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predictorType: typing.Text = ...
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modelId: typing.Text = ...
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def __init__(self,
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*,
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project : typing.Optional[typing.Text] = ...,
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modelClass : typing.Optional[typing.Text] = ...,
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version : typing.Optional[typing.Text] = ...,
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predictorType : typing.Optional[typing.Text] = ...,
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modelId : typing.Optional[typing.Text] = ...,
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) -> None: ...
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def HasField(self, field_name: typing_extensions.Literal[u"modelClass",b"modelClass",u"modelId",b"modelId",u"predictorType",b"predictorType",u"project",b"project",u"version",b"version"]) -> bool: ...
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def ClearField(self, field_name: typing_extensions.Literal[u"modelClass",b"modelClass",u"modelId",b"modelId",u"predictorType",b"predictorType",u"project",b"project",u"version",b"version"]) -> None: ...
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global___ModelInfo = ModelInfo
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class BlobsMap(google.protobuf.message.Message):
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DESCRIPTOR: google.protobuf.descriptor.Descriptor = ...
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KEY_FIELD_NUMBER: int
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VALUE_FIELD_NUMBER: int
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key: typing.Text = ...
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value: google.protobuf.internal.containers.RepeatedScalarFieldContainer[typing.Text] = ...
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def __init__(self,
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*,
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key : typing.Optional[typing.Text] = ...,
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value : typing.Optional[typing.Iterable[typing.Text]] = ...,
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) -> None: ...
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def HasField(self, field_name: typing_extensions.Literal[u"key",b"key"]) -> bool: ...
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def ClearField(self, field_name: typing_extensions.Literal[u"key",b"key",u"value",b"value"]) -> None: ...
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global___BlobsMap = BlobsMap
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class NetsMap(google.protobuf.message.Message):
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DESCRIPTOR: google.protobuf.descriptor.Descriptor = ...
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KEY_FIELD_NUMBER: int
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VALUE_FIELD_NUMBER: int
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key: typing.Text = ...
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@property
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def value(self) -> caffe2.proto.caffe2_pb2.NetDef: ...
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def __init__(self,
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*,
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key : typing.Optional[typing.Text] = ...,
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value : typing.Optional[caffe2.proto.caffe2_pb2.NetDef] = ...,
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) -> None: ...
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def HasField(self, field_name: typing_extensions.Literal[u"key",b"key",u"value",b"value"]) -> bool: ...
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def ClearField(self, field_name: typing_extensions.Literal[u"key",b"key",u"value",b"value"]) -> None: ...
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global___NetsMap = NetsMap
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class PlansMap(google.protobuf.message.Message):
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DESCRIPTOR: google.protobuf.descriptor.Descriptor = ...
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KEY_FIELD_NUMBER: int
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VALUE_FIELD_NUMBER: int
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key: typing.Text = ...
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@property
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def value(self) -> caffe2.proto.caffe2_pb2.PlanDef: ...
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def __init__(self,
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*,
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key : typing.Optional[typing.Text] = ...,
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value : typing.Optional[caffe2.proto.caffe2_pb2.PlanDef] = ...,
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) -> None: ...
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def HasField(self, field_name: typing_extensions.Literal[u"key",b"key",u"value",b"value"]) -> bool: ...
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def ClearField(self, field_name: typing_extensions.Literal[u"key",b"key",u"value",b"value"]) -> None: ...
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global___PlansMap = PlansMap
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class StringMap(google.protobuf.message.Message):
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DESCRIPTOR: google.protobuf.descriptor.Descriptor = ...
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KEY_FIELD_NUMBER: int
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VALUE_FIELD_NUMBER: int
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key: typing.Text = ...
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value: typing.Text = ...
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def __init__(self,
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*,
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key : typing.Optional[typing.Text] = ...,
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value : typing.Optional[typing.Text] = ...,
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) -> None: ...
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def HasField(self, field_name: typing_extensions.Literal[u"key",b"key",u"value",b"value"]) -> bool: ...
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def ClearField(self, field_name: typing_extensions.Literal[u"key",b"key",u"value",b"value"]) -> None: ...
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global___StringMap = StringMap
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class MetaNetDef(google.protobuf.message.Message):
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DESCRIPTOR: google.protobuf.descriptor.Descriptor = ...
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BLOBS_FIELD_NUMBER: int
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NETS_FIELD_NUMBER: int
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MODELINFO_FIELD_NUMBER: int
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PLANS_FIELD_NUMBER: int
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APPLICATIONSPECIFICINFO_FIELD_NUMBER: int
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BLOBSORDER_FIELD_NUMBER: int
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PRELOADBLOBS_FIELD_NUMBER: int
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TENSORBOUNDSHAPES_FIELD_NUMBER: int
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REQUESTONLYEMBEDDINGS_FIELD_NUMBER: int
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AOTCONFIG_FIELD_NUMBER: int
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blobsOrder: google.protobuf.internal.containers.RepeatedScalarFieldContainer[typing.Text] = ...
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preLoadBlobs: google.protobuf.internal.containers.RepeatedScalarFieldContainer[typing.Text] = ...
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requestOnlyEmbeddings: google.protobuf.internal.containers.RepeatedScalarFieldContainer[typing.Text] = ...
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@property
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def blobs(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___BlobsMap]: ...
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@property
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def nets(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___NetsMap]: ...
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@property
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def modelInfo(self) -> global___ModelInfo: ...
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@property
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def plans(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___PlansMap]: ...
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@property
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def applicationSpecificInfo(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___StringMap]: ...
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@property
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def tensorBoundShapes(self) -> caffe2.proto.caffe2_pb2.TensorBoundShapes: ...
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@property
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def aotConfig(self) -> caffe2.proto.caffe2_pb2.AOTConfig: ...
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def __init__(self,
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*,
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blobs : typing.Optional[typing.Iterable[global___BlobsMap]] = ...,
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nets : typing.Optional[typing.Iterable[global___NetsMap]] = ...,
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modelInfo : typing.Optional[global___ModelInfo] = ...,
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plans : typing.Optional[typing.Iterable[global___PlansMap]] = ...,
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applicationSpecificInfo : typing.Optional[typing.Iterable[global___StringMap]] = ...,
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blobsOrder : typing.Optional[typing.Iterable[typing.Text]] = ...,
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preLoadBlobs : typing.Optional[typing.Iterable[typing.Text]] = ...,
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tensorBoundShapes : typing.Optional[caffe2.proto.caffe2_pb2.TensorBoundShapes] = ...,
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requestOnlyEmbeddings : typing.Optional[typing.Iterable[typing.Text]] = ...,
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aotConfig : typing.Optional[caffe2.proto.caffe2_pb2.AOTConfig] = ...,
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) -> None: ...
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def HasField(self, field_name: typing_extensions.Literal[u"aotConfig",b"aotConfig",u"modelInfo",b"modelInfo",u"tensorBoundShapes",b"tensorBoundShapes"]) -> bool: ...
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def ClearField(self, field_name: typing_extensions.Literal[u"aotConfig",b"aotConfig",u"applicationSpecificInfo",b"applicationSpecificInfo",u"blobs",b"blobs",u"blobsOrder",b"blobsOrder",u"modelInfo",b"modelInfo",u"nets",b"nets",u"plans",b"plans",u"preLoadBlobs",b"preLoadBlobs",u"requestOnlyEmbeddings",b"requestOnlyEmbeddings",u"tensorBoundShapes",b"tensorBoundShapes"]) -> None: ...
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global___MetaNetDef = MetaNetDef
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