| """ |
| @generated by mypy-protobuf. Do not edit manually! |
| isort:skip_file |
| """ |
| import builtins |
| import caffe2.proto.caffe2_pb2 |
| import google.protobuf.descriptor |
| import google.protobuf.internal.containers |
| import google.protobuf.message |
| import typing |
| import typing_extensions |
| |
| DESCRIPTOR: google.protobuf.descriptor.FileDescriptor = ... |
| |
| class ModelInfo(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| PROJECT_FIELD_NUMBER: int |
| MODELCLASS_FIELD_NUMBER: int |
| VERSION_FIELD_NUMBER: int |
| PREDICTORTYPE_FIELD_NUMBER: int |
| MODELID_FIELD_NUMBER: int |
| project: typing.Text = ... |
| modelClass: typing.Text = ... |
| version: typing.Text = ... |
| predictorType: typing.Text = ... |
| modelId: typing.Text = ... |
| |
| def __init__(self, |
| *, |
| project : typing.Optional[typing.Text] = ..., |
| modelClass : typing.Optional[typing.Text] = ..., |
| version : typing.Optional[typing.Text] = ..., |
| predictorType : typing.Optional[typing.Text] = ..., |
| modelId : typing.Optional[typing.Text] = ..., |
| ) -> None: ... |
| 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: ... |
| 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: ... |
| global___ModelInfo = ModelInfo |
| |
| class BlobsMap(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| KEY_FIELD_NUMBER: int |
| VALUE_FIELD_NUMBER: int |
| key: typing.Text = ... |
| value: google.protobuf.internal.containers.RepeatedScalarFieldContainer[typing.Text] = ... |
| |
| def __init__(self, |
| *, |
| key : typing.Optional[typing.Text] = ..., |
| value : typing.Optional[typing.Iterable[typing.Text]] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"key",b"key"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"key",b"key",u"value",b"value"]) -> None: ... |
| global___BlobsMap = BlobsMap |
| |
| class NetsMap(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| KEY_FIELD_NUMBER: int |
| VALUE_FIELD_NUMBER: int |
| key: typing.Text = ... |
| |
| @property |
| def value(self) -> caffe2.proto.caffe2_pb2.NetDef: ... |
| |
| def __init__(self, |
| *, |
| key : typing.Optional[typing.Text] = ..., |
| value : typing.Optional[caffe2.proto.caffe2_pb2.NetDef] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"key",b"key",u"value",b"value"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"key",b"key",u"value",b"value"]) -> None: ... |
| global___NetsMap = NetsMap |
| |
| class PlansMap(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| KEY_FIELD_NUMBER: int |
| VALUE_FIELD_NUMBER: int |
| key: typing.Text = ... |
| |
| @property |
| def value(self) -> caffe2.proto.caffe2_pb2.PlanDef: ... |
| |
| def __init__(self, |
| *, |
| key : typing.Optional[typing.Text] = ..., |
| value : typing.Optional[caffe2.proto.caffe2_pb2.PlanDef] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"key",b"key",u"value",b"value"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"key",b"key",u"value",b"value"]) -> None: ... |
| global___PlansMap = PlansMap |
| |
| class StringMap(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| KEY_FIELD_NUMBER: int |
| VALUE_FIELD_NUMBER: int |
| key: typing.Text = ... |
| value: typing.Text = ... |
| |
| def __init__(self, |
| *, |
| key : typing.Optional[typing.Text] = ..., |
| value : typing.Optional[typing.Text] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"key",b"key",u"value",b"value"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"key",b"key",u"value",b"value"]) -> None: ... |
| global___StringMap = StringMap |
| |
| class MetaNetDef(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| BLOBS_FIELD_NUMBER: int |
| NETS_FIELD_NUMBER: int |
| MODELINFO_FIELD_NUMBER: int |
| PLANS_FIELD_NUMBER: int |
| APPLICATIONSPECIFICINFO_FIELD_NUMBER: int |
| BLOBSORDER_FIELD_NUMBER: int |
| PRELOADBLOBS_FIELD_NUMBER: int |
| TENSORBOUNDSHAPES_FIELD_NUMBER: int |
| REQUESTONLYEMBEDDINGS_FIELD_NUMBER: int |
| AOTCONFIG_FIELD_NUMBER: int |
| blobsOrder: google.protobuf.internal.containers.RepeatedScalarFieldContainer[typing.Text] = ... |
| preLoadBlobs: google.protobuf.internal.containers.RepeatedScalarFieldContainer[typing.Text] = ... |
| requestOnlyEmbeddings: google.protobuf.internal.containers.RepeatedScalarFieldContainer[typing.Text] = ... |
| |
| @property |
| def blobs(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___BlobsMap]: ... |
| |
| @property |
| def nets(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___NetsMap]: ... |
| |
| @property |
| def modelInfo(self) -> global___ModelInfo: ... |
| |
| @property |
| def plans(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___PlansMap]: ... |
| |
| @property |
| def applicationSpecificInfo(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___StringMap]: ... |
| |
| @property |
| def tensorBoundShapes(self) -> caffe2.proto.caffe2_pb2.TensorBoundShapes: ... |
| |
| @property |
| def aotConfig(self) -> caffe2.proto.caffe2_pb2.AOTConfig: ... |
| |
| def __init__(self, |
| *, |
| blobs : typing.Optional[typing.Iterable[global___BlobsMap]] = ..., |
| nets : typing.Optional[typing.Iterable[global___NetsMap]] = ..., |
| modelInfo : typing.Optional[global___ModelInfo] = ..., |
| plans : typing.Optional[typing.Iterable[global___PlansMap]] = ..., |
| applicationSpecificInfo : typing.Optional[typing.Iterable[global___StringMap]] = ..., |
| blobsOrder : typing.Optional[typing.Iterable[typing.Text]] = ..., |
| preLoadBlobs : typing.Optional[typing.Iterable[typing.Text]] = ..., |
| tensorBoundShapes : typing.Optional[caffe2.proto.caffe2_pb2.TensorBoundShapes] = ..., |
| requestOnlyEmbeddings : typing.Optional[typing.Iterable[typing.Text]] = ..., |
| aotConfig : typing.Optional[caffe2.proto.caffe2_pb2.AOTConfig] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"aotConfig",b"aotConfig",u"modelInfo",b"modelInfo",u"tensorBoundShapes",b"tensorBoundShapes"]) -> bool: ... |
| 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: ... |
| global___MetaNetDef = MetaNetDef |