| """ |
| @generated by mypy-protobuf. Do not edit manually! |
| isort:skip_file |
| """ |
| import builtins |
| import google.protobuf.descriptor |
| import google.protobuf.internal.containers |
| import google.protobuf.internal.enum_type_wrapper |
| import google.protobuf.message |
| import typing |
| import typing_extensions |
| |
| DESCRIPTOR: google.protobuf.descriptor.FileDescriptor = ... |
| |
| global___DeviceTypeProto = DeviceTypeProto |
| class _DeviceTypeProto(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[DeviceTypeProto], type): |
| DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor = ... |
| PROTO_CPU = DeviceTypeProto.V(0) |
| PROTO_CUDA = DeviceTypeProto.V(1) |
| PROTO_MKLDNN = DeviceTypeProto.V(2) |
| PROTO_OPENGL = DeviceTypeProto.V(3) |
| PROTO_OPENCL = DeviceTypeProto.V(4) |
| PROTO_IDEEP = DeviceTypeProto.V(5) |
| PROTO_HIP = DeviceTypeProto.V(6) |
| PROTO_FPGA = DeviceTypeProto.V(7) |
| PROTO_ORT = DeviceTypeProto.V(8) |
| PROTO_XLA = DeviceTypeProto.V(9) |
| PROTO_MPS = DeviceTypeProto.V(10) |
| PROTO_COMPILE_TIME_MAX_DEVICE_TYPES = DeviceTypeProto.V(11) |
| class DeviceTypeProto(metaclass=_DeviceTypeProto): |
| V = typing.NewType('V', int) |
| PROTO_CPU = DeviceTypeProto.V(0) |
| PROTO_CUDA = DeviceTypeProto.V(1) |
| PROTO_MKLDNN = DeviceTypeProto.V(2) |
| PROTO_OPENGL = DeviceTypeProto.V(3) |
| PROTO_OPENCL = DeviceTypeProto.V(4) |
| PROTO_IDEEP = DeviceTypeProto.V(5) |
| PROTO_HIP = DeviceTypeProto.V(6) |
| PROTO_FPGA = DeviceTypeProto.V(7) |
| PROTO_ORT = DeviceTypeProto.V(8) |
| PROTO_XLA = DeviceTypeProto.V(9) |
| PROTO_MPS = DeviceTypeProto.V(10) |
| PROTO_COMPILE_TIME_MAX_DEVICE_TYPES = DeviceTypeProto.V(11) |
| |
| class TensorProto(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| class _DataType(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[DataType], type): |
| DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor = ... |
| UNDEFINED = TensorProto.DataType.V(0) |
| FLOAT = TensorProto.DataType.V(1) |
| INT32 = TensorProto.DataType.V(2) |
| BYTE = TensorProto.DataType.V(3) |
| STRING = TensorProto.DataType.V(4) |
| BOOL = TensorProto.DataType.V(5) |
| UINT8 = TensorProto.DataType.V(6) |
| INT8 = TensorProto.DataType.V(7) |
| UINT16 = TensorProto.DataType.V(8) |
| INT16 = TensorProto.DataType.V(9) |
| INT64 = TensorProto.DataType.V(10) |
| FLOAT16 = TensorProto.DataType.V(12) |
| DOUBLE = TensorProto.DataType.V(13) |
| ZERO_COLLISION_HASH = TensorProto.DataType.V(14) |
| REBATCHING_BUFFER = TensorProto.DataType.V(15) |
| class DataType(metaclass=_DataType): |
| V = typing.NewType('V', int) |
| UNDEFINED = TensorProto.DataType.V(0) |
| FLOAT = TensorProto.DataType.V(1) |
| INT32 = TensorProto.DataType.V(2) |
| BYTE = TensorProto.DataType.V(3) |
| STRING = TensorProto.DataType.V(4) |
| BOOL = TensorProto.DataType.V(5) |
| UINT8 = TensorProto.DataType.V(6) |
| INT8 = TensorProto.DataType.V(7) |
| UINT16 = TensorProto.DataType.V(8) |
| INT16 = TensorProto.DataType.V(9) |
| INT64 = TensorProto.DataType.V(10) |
| FLOAT16 = TensorProto.DataType.V(12) |
| DOUBLE = TensorProto.DataType.V(13) |
| ZERO_COLLISION_HASH = TensorProto.DataType.V(14) |
| REBATCHING_BUFFER = TensorProto.DataType.V(15) |
| |
| class _SerializationFormat(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[SerializationFormat], type): |
| DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor = ... |
| FMT_PROTOBUF = TensorProto.SerializationFormat.V(0) |
| FMT_BFLOAT16 = TensorProto.SerializationFormat.V(1) |
| class SerializationFormat(metaclass=_SerializationFormat): |
| V = typing.NewType('V', int) |
| FMT_PROTOBUF = TensorProto.SerializationFormat.V(0) |
| FMT_BFLOAT16 = TensorProto.SerializationFormat.V(1) |
| |
| class Segment(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| BEGIN_FIELD_NUMBER: int |
| END_FIELD_NUMBER: int |
| begin: int = ... |
| end: int = ... |
| |
| def __init__(self, |
| *, |
| begin : typing.Optional[int] = ..., |
| end : typing.Optional[int] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"begin",b"begin",u"end",b"end"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"begin",b"begin",u"end",b"end"]) -> None: ... |
| |
| DIMS_FIELD_NUMBER: int |
| DATA_TYPE_FIELD_NUMBER: int |
| DATA_FORMAT_FIELD_NUMBER: int |
| FLOAT_DATA_FIELD_NUMBER: int |
| INT32_DATA_FIELD_NUMBER: int |
| BYTE_DATA_FIELD_NUMBER: int |
| STRING_DATA_FIELD_NUMBER: int |
| DOUBLE_DATA_FIELD_NUMBER: int |
| INT64_DATA_FIELD_NUMBER: int |
| RAW_DATA_FIELD_NUMBER: int |
| NAME_FIELD_NUMBER: int |
| DEVICE_DETAIL_FIELD_NUMBER: int |
| SEGMENT_FIELD_NUMBER: int |
| dims: google.protobuf.internal.containers.RepeatedScalarFieldContainer[int] = ... |
| data_type: global___TensorProto.DataType = ... |
| data_format: int = ... |
| float_data: google.protobuf.internal.containers.RepeatedScalarFieldContainer[float] = ... |
| int32_data: google.protobuf.internal.containers.RepeatedScalarFieldContainer[int] = ... |
| byte_data: bytes = ... |
| string_data: google.protobuf.internal.containers.RepeatedScalarFieldContainer[bytes] = ... |
| double_data: google.protobuf.internal.containers.RepeatedScalarFieldContainer[float] = ... |
| int64_data: google.protobuf.internal.containers.RepeatedScalarFieldContainer[int] = ... |
| raw_data: bytes = ... |
| name: typing.Text = ... |
| |
| @property |
| def device_detail(self) -> global___DeviceOption: ... |
| |
| @property |
| def segment(self) -> global___TensorProto.Segment: ... |
| |
| def __init__(self, |
| *, |
| dims : typing.Optional[typing.Iterable[int]] = ..., |
| data_type : typing.Optional[global___TensorProto.DataType] = ..., |
| data_format : typing.Optional[int] = ..., |
| float_data : typing.Optional[typing.Iterable[float]] = ..., |
| int32_data : typing.Optional[typing.Iterable[int]] = ..., |
| byte_data : typing.Optional[bytes] = ..., |
| string_data : typing.Optional[typing.Iterable[bytes]] = ..., |
| double_data : typing.Optional[typing.Iterable[float]] = ..., |
| int64_data : typing.Optional[typing.Iterable[int]] = ..., |
| raw_data : typing.Optional[bytes] = ..., |
| name : typing.Optional[typing.Text] = ..., |
| device_detail : typing.Optional[global___DeviceOption] = ..., |
| segment : typing.Optional[global___TensorProto.Segment] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"byte_data",b"byte_data",u"data_format",b"data_format",u"data_type",b"data_type",u"device_detail",b"device_detail",u"name",b"name",u"raw_data",b"raw_data",u"segment",b"segment"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"byte_data",b"byte_data",u"data_format",b"data_format",u"data_type",b"data_type",u"device_detail",b"device_detail",u"dims",b"dims",u"double_data",b"double_data",u"float_data",b"float_data",u"int32_data",b"int32_data",u"int64_data",b"int64_data",u"name",b"name",u"raw_data",b"raw_data",u"segment",b"segment",u"string_data",b"string_data"]) -> None: ... |
| global___TensorProto = TensorProto |
| |
| class QTensorProto(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| DIMS_FIELD_NUMBER: int |
| PRECISION_FIELD_NUMBER: int |
| SCALE_FIELD_NUMBER: int |
| BIAS_FIELD_NUMBER: int |
| IS_SIGNED_FIELD_NUMBER: int |
| DATA_FIELD_NUMBER: int |
| NAME_FIELD_NUMBER: int |
| DATA_TYPE_FIELD_NUMBER: int |
| SCALES_FIELD_NUMBER: int |
| BIASES_FIELD_NUMBER: int |
| AXIS_FIELD_NUMBER: int |
| IS_MULTIPARAM_FIELD_NUMBER: int |
| dims: google.protobuf.internal.containers.RepeatedScalarFieldContainer[int] = ... |
| precision: int = ... |
| scale: float = ... |
| bias: float = ... |
| is_signed: bool = ... |
| data: google.protobuf.internal.containers.RepeatedScalarFieldContainer[int] = ... |
| name: typing.Text = ... |
| data_type: global___TensorProto.DataType = ... |
| scales: google.protobuf.internal.containers.RepeatedScalarFieldContainer[float] = ... |
| biases: google.protobuf.internal.containers.RepeatedScalarFieldContainer[float] = ... |
| axis: int = ... |
| is_multiparam: bool = ... |
| |
| def __init__(self, |
| *, |
| dims : typing.Optional[typing.Iterable[int]] = ..., |
| precision : typing.Optional[int] = ..., |
| scale : typing.Optional[float] = ..., |
| bias : typing.Optional[float] = ..., |
| is_signed : typing.Optional[bool] = ..., |
| data : typing.Optional[typing.Iterable[int]] = ..., |
| name : typing.Optional[typing.Text] = ..., |
| data_type : typing.Optional[global___TensorProto.DataType] = ..., |
| scales : typing.Optional[typing.Iterable[float]] = ..., |
| biases : typing.Optional[typing.Iterable[float]] = ..., |
| axis : typing.Optional[int] = ..., |
| is_multiparam : typing.Optional[bool] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"axis",b"axis",u"bias",b"bias",u"data_type",b"data_type",u"is_multiparam",b"is_multiparam",u"is_signed",b"is_signed",u"name",b"name",u"precision",b"precision",u"scale",b"scale"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"axis",b"axis",u"bias",b"bias",u"biases",b"biases",u"data",b"data",u"data_type",b"data_type",u"dims",b"dims",u"is_multiparam",b"is_multiparam",u"is_signed",b"is_signed",u"name",b"name",u"precision",b"precision",u"scale",b"scale",u"scales",b"scales"]) -> None: ... |
| global___QTensorProto = QTensorProto |
| |
| class TensorProtos(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| PROTOS_FIELD_NUMBER: int |
| |
| @property |
| def protos(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___TensorProto]: ... |
| |
| def __init__(self, |
| *, |
| protos : typing.Optional[typing.Iterable[global___TensorProto]] = ..., |
| ) -> None: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"protos",b"protos"]) -> None: ... |
| global___TensorProtos = TensorProtos |
| |
| class TensorShape(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| DIMS_FIELD_NUMBER: int |
| DATA_TYPE_FIELD_NUMBER: int |
| UNKNOWN_DIMS_FIELD_NUMBER: int |
| UNKNOWN_SHAPE_FIELD_NUMBER: int |
| NAME_FIELD_NUMBER: int |
| dims: google.protobuf.internal.containers.RepeatedScalarFieldContainer[int] = ... |
| data_type: global___TensorProto.DataType = ... |
| unknown_dims: google.protobuf.internal.containers.RepeatedScalarFieldContainer[int] = ... |
| unknown_shape: bool = ... |
| name: typing.Text = ... |
| |
| def __init__(self, |
| *, |
| dims : typing.Optional[typing.Iterable[int]] = ..., |
| data_type : typing.Optional[global___TensorProto.DataType] = ..., |
| unknown_dims : typing.Optional[typing.Iterable[int]] = ..., |
| unknown_shape : typing.Optional[bool] = ..., |
| name : typing.Optional[typing.Text] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"data_type",b"data_type",u"name",b"name",u"unknown_shape",b"unknown_shape"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"data_type",b"data_type",u"dims",b"dims",u"name",b"name",u"unknown_dims",b"unknown_dims",u"unknown_shape",b"unknown_shape"]) -> None: ... |
| global___TensorShape = TensorShape |
| |
| class TensorShapes(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| SHAPES_FIELD_NUMBER: int |
| |
| @property |
| def shapes(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___TensorShape]: ... |
| |
| def __init__(self, |
| *, |
| shapes : typing.Optional[typing.Iterable[global___TensorShape]] = ..., |
| ) -> None: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"shapes",b"shapes"]) -> None: ... |
| global___TensorShapes = TensorShapes |
| |
| class TensorBoundShape(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| class _DimType(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[DimType], type): |
| DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor = ... |
| UNKNOWN = TensorBoundShape.DimType.V(0) |
| CONSTANT = TensorBoundShape.DimType.V(1) |
| BATCH = TensorBoundShape.DimType.V(2) |
| BATCH_OF_FEATURE_MAX = TensorBoundShape.DimType.V(3) |
| BATCH_OF_FEATURE_MAX_DEFAULT = TensorBoundShape.DimType.V(4) |
| FEATURE_MAX = TensorBoundShape.DimType.V(5) |
| FEATURE_MAX_DEFAULT = TensorBoundShape.DimType.V(6) |
| class DimType(metaclass=_DimType): |
| V = typing.NewType('V', int) |
| UNKNOWN = TensorBoundShape.DimType.V(0) |
| CONSTANT = TensorBoundShape.DimType.V(1) |
| BATCH = TensorBoundShape.DimType.V(2) |
| BATCH_OF_FEATURE_MAX = TensorBoundShape.DimType.V(3) |
| BATCH_OF_FEATURE_MAX_DEFAULT = TensorBoundShape.DimType.V(4) |
| FEATURE_MAX = TensorBoundShape.DimType.V(5) |
| FEATURE_MAX_DEFAULT = TensorBoundShape.DimType.V(6) |
| |
| SHAPE_FIELD_NUMBER: int |
| DIM_TYPE_FIELD_NUMBER: int |
| NAME_FIELD_NUMBER: int |
| SHAPE_IS_FINAL_FIELD_NUMBER: int |
| dim_type: google.protobuf.internal.containers.RepeatedScalarFieldContainer[global___TensorBoundShape.DimType] = ... |
| name: typing.Text = ... |
| shape_is_final: bool = ... |
| |
| @property |
| def shape(self) -> global___TensorShape: ... |
| |
| def __init__(self, |
| *, |
| shape : typing.Optional[global___TensorShape] = ..., |
| dim_type : typing.Optional[typing.Iterable[global___TensorBoundShape.DimType]] = ..., |
| name : typing.Optional[typing.Text] = ..., |
| shape_is_final : typing.Optional[bool] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"name",b"name",u"shape",b"shape",u"shape_is_final",b"shape_is_final"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"dim_type",b"dim_type",u"name",b"name",u"shape",b"shape",u"shape_is_final",b"shape_is_final"]) -> None: ... |
| global___TensorBoundShape = TensorBoundShape |
| |
| class TensorBoundShapes(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| SHAPES_FIELD_NUMBER: int |
| MAX_BATCH_SIZE_FIELD_NUMBER: int |
| MAX_FEATURE_LEN_FIELD_NUMBER: int |
| max_batch_size: int = ... |
| max_feature_len: int = ... |
| |
| @property |
| def shapes(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___TensorBoundShape]: ... |
| |
| def __init__(self, |
| *, |
| shapes : typing.Optional[typing.Iterable[global___TensorBoundShape]] = ..., |
| max_batch_size : typing.Optional[int] = ..., |
| max_feature_len : typing.Optional[int] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"max_batch_size",b"max_batch_size",u"max_feature_len",b"max_feature_len"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"max_batch_size",b"max_batch_size",u"max_feature_len",b"max_feature_len",u"shapes",b"shapes"]) -> None: ... |
| global___TensorBoundShapes = TensorBoundShapes |
| |
| class AOTConfig(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| MAX_BATCH_SIZE_FIELD_NUMBER: int |
| MAX_SEQ_SIZE_FIELD_NUMBER: int |
| IN_BATCH_BROADCAST_FIELD_NUMBER: int |
| ONNXIFI_BLACKLIST_OPS_FIELD_NUMBER: int |
| ONNXIFI_MIN_OPS_FIELD_NUMBER: int |
| max_batch_size: int = ... |
| max_seq_size: int = ... |
| in_batch_broadcast: bool = ... |
| onnxifi_blacklist_ops: typing.Text = ... |
| onnxifi_min_ops: int = ... |
| |
| def __init__(self, |
| *, |
| max_batch_size : typing.Optional[int] = ..., |
| max_seq_size : typing.Optional[int] = ..., |
| in_batch_broadcast : typing.Optional[bool] = ..., |
| onnxifi_blacklist_ops : typing.Optional[typing.Text] = ..., |
| onnxifi_min_ops : typing.Optional[int] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"in_batch_broadcast",b"in_batch_broadcast",u"max_batch_size",b"max_batch_size",u"max_seq_size",b"max_seq_size",u"onnxifi_blacklist_ops",b"onnxifi_blacklist_ops",u"onnxifi_min_ops",b"onnxifi_min_ops"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"in_batch_broadcast",b"in_batch_broadcast",u"max_batch_size",b"max_batch_size",u"max_seq_size",b"max_seq_size",u"onnxifi_blacklist_ops",b"onnxifi_blacklist_ops",u"onnxifi_min_ops",b"onnxifi_min_ops"]) -> None: ... |
| global___AOTConfig = AOTConfig |
| |
| class Argument(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| NAME_FIELD_NUMBER: int |
| F_FIELD_NUMBER: int |
| I_FIELD_NUMBER: int |
| S_FIELD_NUMBER: int |
| T_FIELD_NUMBER: int |
| N_FIELD_NUMBER: int |
| FLOATS_FIELD_NUMBER: int |
| INTS_FIELD_NUMBER: int |
| STRINGS_FIELD_NUMBER: int |
| TENSORS_FIELD_NUMBER: int |
| NETS_FIELD_NUMBER: int |
| QTENSORS_FIELD_NUMBER: int |
| name: typing.Text = ... |
| f: float = ... |
| i: int = ... |
| s: bytes = ... |
| floats: google.protobuf.internal.containers.RepeatedScalarFieldContainer[float] = ... |
| ints: google.protobuf.internal.containers.RepeatedScalarFieldContainer[int] = ... |
| strings: google.protobuf.internal.containers.RepeatedScalarFieldContainer[bytes] = ... |
| |
| @property |
| def t(self) -> global___TensorProto: ... |
| |
| @property |
| def n(self) -> global___NetDef: ... |
| |
| @property |
| def tensors(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___TensorProto]: ... |
| |
| @property |
| def nets(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___NetDef]: ... |
| |
| @property |
| def qtensors(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___QTensorProto]: ... |
| |
| def __init__(self, |
| *, |
| name : typing.Optional[typing.Text] = ..., |
| f : typing.Optional[float] = ..., |
| i : typing.Optional[int] = ..., |
| s : typing.Optional[bytes] = ..., |
| t : typing.Optional[global___TensorProto] = ..., |
| n : typing.Optional[global___NetDef] = ..., |
| floats : typing.Optional[typing.Iterable[float]] = ..., |
| ints : typing.Optional[typing.Iterable[int]] = ..., |
| strings : typing.Optional[typing.Iterable[bytes]] = ..., |
| tensors : typing.Optional[typing.Iterable[global___TensorProto]] = ..., |
| nets : typing.Optional[typing.Iterable[global___NetDef]] = ..., |
| qtensors : typing.Optional[typing.Iterable[global___QTensorProto]] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"f",b"f",u"i",b"i",u"n",b"n",u"name",b"name",u"s",b"s",u"t",b"t"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"f",b"f",u"floats",b"floats",u"i",b"i",u"ints",b"ints",u"n",b"n",u"name",b"name",u"nets",b"nets",u"qtensors",b"qtensors",u"s",b"s",u"strings",b"strings",u"t",b"t",u"tensors",b"tensors"]) -> None: ... |
| global___Argument = Argument |
| |
| class DeviceOption(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| DEVICE_TYPE_FIELD_NUMBER: int |
| DEVICE_ID_FIELD_NUMBER: int |
| RANDOM_SEED_FIELD_NUMBER: int |
| NODE_NAME_FIELD_NUMBER: int |
| NUMA_NODE_ID_FIELD_NUMBER: int |
| EXTRA_INFO_FIELD_NUMBER: int |
| device_type: int = ... |
| device_id: int = ... |
| random_seed: int = ... |
| node_name: typing.Text = ... |
| numa_node_id: int = ... |
| extra_info: google.protobuf.internal.containers.RepeatedScalarFieldContainer[typing.Text] = ... |
| |
| def __init__(self, |
| *, |
| device_type : typing.Optional[int] = ..., |
| device_id : typing.Optional[int] = ..., |
| random_seed : typing.Optional[int] = ..., |
| node_name : typing.Optional[typing.Text] = ..., |
| numa_node_id : typing.Optional[int] = ..., |
| extra_info : typing.Optional[typing.Iterable[typing.Text]] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"device_id",b"device_id",u"device_type",b"device_type",u"node_name",b"node_name",u"numa_node_id",b"numa_node_id",u"random_seed",b"random_seed"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"device_id",b"device_id",u"device_type",b"device_type",u"extra_info",b"extra_info",u"node_name",b"node_name",u"numa_node_id",b"numa_node_id",u"random_seed",b"random_seed"]) -> None: ... |
| global___DeviceOption = DeviceOption |
| |
| class OperatorDef(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| INPUT_FIELD_NUMBER: int |
| OUTPUT_FIELD_NUMBER: int |
| NAME_FIELD_NUMBER: int |
| TYPE_FIELD_NUMBER: int |
| ARG_FIELD_NUMBER: int |
| DEVICE_OPTION_FIELD_NUMBER: int |
| ENGINE_FIELD_NUMBER: int |
| CONTROL_INPUT_FIELD_NUMBER: int |
| IS_GRADIENT_OP_FIELD_NUMBER: int |
| DEBUG_INFO_FIELD_NUMBER: int |
| DOMAIN_FIELD_NUMBER: int |
| OP_VERSION_FIELD_NUMBER: int |
| input: google.protobuf.internal.containers.RepeatedScalarFieldContainer[typing.Text] = ... |
| output: google.protobuf.internal.containers.RepeatedScalarFieldContainer[typing.Text] = ... |
| name: typing.Text = ... |
| type: typing.Text = ... |
| engine: typing.Text = ... |
| control_input: google.protobuf.internal.containers.RepeatedScalarFieldContainer[typing.Text] = ... |
| is_gradient_op: bool = ... |
| debug_info: typing.Text = ... |
| domain: typing.Text = ... |
| op_version: int = ... |
| |
| @property |
| def arg(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___Argument]: ... |
| |
| @property |
| def device_option(self) -> global___DeviceOption: ... |
| |
| def __init__(self, |
| *, |
| input : typing.Optional[typing.Iterable[typing.Text]] = ..., |
| output : typing.Optional[typing.Iterable[typing.Text]] = ..., |
| name : typing.Optional[typing.Text] = ..., |
| type : typing.Optional[typing.Text] = ..., |
| arg : typing.Optional[typing.Iterable[global___Argument]] = ..., |
| device_option : typing.Optional[global___DeviceOption] = ..., |
| engine : typing.Optional[typing.Text] = ..., |
| control_input : typing.Optional[typing.Iterable[typing.Text]] = ..., |
| is_gradient_op : typing.Optional[bool] = ..., |
| debug_info : typing.Optional[typing.Text] = ..., |
| domain : typing.Optional[typing.Text] = ..., |
| op_version : typing.Optional[int] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"debug_info",b"debug_info",u"device_option",b"device_option",u"domain",b"domain",u"engine",b"engine",u"is_gradient_op",b"is_gradient_op",u"name",b"name",u"op_version",b"op_version",u"type",b"type"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"arg",b"arg",u"control_input",b"control_input",u"debug_info",b"debug_info",u"device_option",b"device_option",u"domain",b"domain",u"engine",b"engine",u"input",b"input",u"is_gradient_op",b"is_gradient_op",u"name",b"name",u"op_version",b"op_version",u"output",b"output",u"type",b"type"]) -> None: ... |
| global___OperatorDef = OperatorDef |
| |
| class MapFieldEntry(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| KEY_FIELD_NUMBER: int |
| VAL_FIELD_NUMBER: int |
| key: typing.Text = ... |
| val: typing.Text = ... |
| |
| def __init__(self, |
| *, |
| key : typing.Optional[typing.Text] = ..., |
| val : typing.Optional[typing.Text] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"key",b"key",u"val",b"val"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"key",b"key",u"val",b"val"]) -> None: ... |
| global___MapFieldEntry = MapFieldEntry |
| |
| class BackendOptions(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| BACKEND_NAME_FIELD_NUMBER: int |
| OPTION_FIELD_NUMBER: int |
| backend_name: typing.Text = ... |
| |
| @property |
| def option(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___MapFieldEntry]: ... |
| |
| def __init__(self, |
| *, |
| backend_name : typing.Optional[typing.Text] = ..., |
| option : typing.Optional[typing.Iterable[global___MapFieldEntry]] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"backend_name",b"backend_name"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"backend_name",b"backend_name",u"option",b"option"]) -> None: ... |
| global___BackendOptions = BackendOptions |
| |
| class PartitionInfo(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| NAME_FIELD_NUMBER: int |
| DEVICE_ID_FIELD_NUMBER: int |
| EXTRA_INFO_FIELD_NUMBER: int |
| BACKEND_OPTIONS_FIELD_NUMBER: int |
| name: typing.Text = ... |
| device_id: google.protobuf.internal.containers.RepeatedScalarFieldContainer[int] = ... |
| extra_info: typing.Text = ... |
| |
| @property |
| def backend_options(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___BackendOptions]: ... |
| |
| def __init__(self, |
| *, |
| name : typing.Optional[typing.Text] = ..., |
| device_id : typing.Optional[typing.Iterable[int]] = ..., |
| extra_info : typing.Optional[typing.Text] = ..., |
| backend_options : typing.Optional[typing.Iterable[global___BackendOptions]] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"extra_info",b"extra_info",u"name",b"name"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"backend_options",b"backend_options",u"device_id",b"device_id",u"extra_info",b"extra_info",u"name",b"name"]) -> None: ... |
| global___PartitionInfo = PartitionInfo |
| |
| class NetDef(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| NAME_FIELD_NUMBER: int |
| OP_FIELD_NUMBER: int |
| TYPE_FIELD_NUMBER: int |
| NUM_WORKERS_FIELD_NUMBER: int |
| DEVICE_OPTION_FIELD_NUMBER: int |
| ARG_FIELD_NUMBER: int |
| EXTERNAL_INPUT_FIELD_NUMBER: int |
| EXTERNAL_OUTPUT_FIELD_NUMBER: int |
| PARTITION_INFO_FIELD_NUMBER: int |
| name: typing.Text = ... |
| type: typing.Text = ... |
| num_workers: int = ... |
| external_input: google.protobuf.internal.containers.RepeatedScalarFieldContainer[typing.Text] = ... |
| external_output: google.protobuf.internal.containers.RepeatedScalarFieldContainer[typing.Text] = ... |
| |
| @property |
| def op(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___OperatorDef]: ... |
| |
| @property |
| def device_option(self) -> global___DeviceOption: ... |
| |
| @property |
| def arg(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___Argument]: ... |
| |
| @property |
| def partition_info(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___PartitionInfo]: ... |
| |
| def __init__(self, |
| *, |
| name : typing.Optional[typing.Text] = ..., |
| op : typing.Optional[typing.Iterable[global___OperatorDef]] = ..., |
| type : typing.Optional[typing.Text] = ..., |
| num_workers : typing.Optional[int] = ..., |
| device_option : typing.Optional[global___DeviceOption] = ..., |
| arg : typing.Optional[typing.Iterable[global___Argument]] = ..., |
| external_input : typing.Optional[typing.Iterable[typing.Text]] = ..., |
| external_output : typing.Optional[typing.Iterable[typing.Text]] = ..., |
| partition_info : typing.Optional[typing.Iterable[global___PartitionInfo]] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"device_option",b"device_option",u"name",b"name",u"num_workers",b"num_workers",u"type",b"type"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"arg",b"arg",u"device_option",b"device_option",u"external_input",b"external_input",u"external_output",b"external_output",u"name",b"name",u"num_workers",b"num_workers",u"op",b"op",u"partition_info",b"partition_info",u"type",b"type"]) -> None: ... |
| global___NetDef = NetDef |
| |
| class ExecutionStep(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| NAME_FIELD_NUMBER: int |
| SUBSTEP_FIELD_NUMBER: int |
| NETWORK_FIELD_NUMBER: int |
| NUM_ITER_FIELD_NUMBER: int |
| CRITERIA_NETWORK_FIELD_NUMBER: int |
| REPORT_NET_FIELD_NUMBER: int |
| REPORT_INTERVAL_FIELD_NUMBER: int |
| RUN_EVERY_MS_FIELD_NUMBER: int |
| CONCURRENT_SUBSTEPS_FIELD_NUMBER: int |
| SHOULD_STOP_BLOB_FIELD_NUMBER: int |
| ONLY_ONCE_FIELD_NUMBER: int |
| CREATE_WORKSPACE_FIELD_NUMBER: int |
| NUM_CONCURRENT_INSTANCES_FIELD_NUMBER: int |
| name: typing.Text = ... |
| network: google.protobuf.internal.containers.RepeatedScalarFieldContainer[typing.Text] = ... |
| num_iter: int = ... |
| criteria_network: typing.Text = ... |
| report_net: typing.Text = ... |
| report_interval: int = ... |
| run_every_ms: int = ... |
| concurrent_substeps: bool = ... |
| should_stop_blob: typing.Text = ... |
| only_once: bool = ... |
| create_workspace: bool = ... |
| num_concurrent_instances: int = ... |
| |
| @property |
| def substep(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ExecutionStep]: ... |
| |
| def __init__(self, |
| *, |
| name : typing.Optional[typing.Text] = ..., |
| substep : typing.Optional[typing.Iterable[global___ExecutionStep]] = ..., |
| network : typing.Optional[typing.Iterable[typing.Text]] = ..., |
| num_iter : typing.Optional[int] = ..., |
| criteria_network : typing.Optional[typing.Text] = ..., |
| report_net : typing.Optional[typing.Text] = ..., |
| report_interval : typing.Optional[int] = ..., |
| run_every_ms : typing.Optional[int] = ..., |
| concurrent_substeps : typing.Optional[bool] = ..., |
| should_stop_blob : typing.Optional[typing.Text] = ..., |
| only_once : typing.Optional[bool] = ..., |
| create_workspace : typing.Optional[bool] = ..., |
| num_concurrent_instances : typing.Optional[int] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"concurrent_substeps",b"concurrent_substeps",u"create_workspace",b"create_workspace",u"criteria_network",b"criteria_network",u"name",b"name",u"num_concurrent_instances",b"num_concurrent_instances",u"num_iter",b"num_iter",u"only_once",b"only_once",u"report_interval",b"report_interval",u"report_net",b"report_net",u"run_every_ms",b"run_every_ms",u"should_stop_blob",b"should_stop_blob"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"concurrent_substeps",b"concurrent_substeps",u"create_workspace",b"create_workspace",u"criteria_network",b"criteria_network",u"name",b"name",u"network",b"network",u"num_concurrent_instances",b"num_concurrent_instances",u"num_iter",b"num_iter",u"only_once",b"only_once",u"report_interval",b"report_interval",u"report_net",b"report_net",u"run_every_ms",b"run_every_ms",u"should_stop_blob",b"should_stop_blob",u"substep",b"substep"]) -> None: ... |
| global___ExecutionStep = ExecutionStep |
| |
| class PlanDef(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| NAME_FIELD_NUMBER: int |
| NETWORK_FIELD_NUMBER: int |
| EXECUTION_STEP_FIELD_NUMBER: int |
| name: typing.Text = ... |
| |
| @property |
| def network(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___NetDef]: ... |
| |
| @property |
| def execution_step(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ExecutionStep]: ... |
| |
| def __init__(self, |
| *, |
| name : typing.Optional[typing.Text] = ..., |
| network : typing.Optional[typing.Iterable[global___NetDef]] = ..., |
| execution_step : typing.Optional[typing.Iterable[global___ExecutionStep]] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"name",b"name"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"execution_step",b"execution_step",u"name",b"name",u"network",b"network"]) -> None: ... |
| global___PlanDef = PlanDef |
| |
| class BlobProto(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| NAME_FIELD_NUMBER: int |
| TYPE_FIELD_NUMBER: int |
| TENSOR_FIELD_NUMBER: int |
| CONTENT_FIELD_NUMBER: int |
| QTENSOR_FIELD_NUMBER: int |
| CONTENT_NUM_CHUNKS_FIELD_NUMBER: int |
| CONTENT_CHUNK_ID_FIELD_NUMBER: int |
| name: typing.Text = ... |
| type: typing.Text = ... |
| content: bytes = ... |
| content_num_chunks: int = ... |
| content_chunk_id: int = ... |
| |
| @property |
| def tensor(self) -> global___TensorProto: ... |
| |
| @property |
| def qtensor(self) -> global___QTensorProto: ... |
| |
| def __init__(self, |
| *, |
| name : typing.Optional[typing.Text] = ..., |
| type : typing.Optional[typing.Text] = ..., |
| tensor : typing.Optional[global___TensorProto] = ..., |
| content : typing.Optional[bytes] = ..., |
| qtensor : typing.Optional[global___QTensorProto] = ..., |
| content_num_chunks : typing.Optional[int] = ..., |
| content_chunk_id : typing.Optional[int] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"content",b"content",u"content_chunk_id",b"content_chunk_id",u"content_num_chunks",b"content_num_chunks",u"name",b"name",u"qtensor",b"qtensor",u"tensor",b"tensor",u"type",b"type"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"content",b"content",u"content_chunk_id",b"content_chunk_id",u"content_num_chunks",b"content_num_chunks",u"name",b"name",u"qtensor",b"qtensor",u"tensor",b"tensor",u"type",b"type"]) -> None: ... |
| global___BlobProto = BlobProto |
| |
| class DBReaderProto(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| NAME_FIELD_NUMBER: int |
| SOURCE_FIELD_NUMBER: int |
| DB_TYPE_FIELD_NUMBER: int |
| KEY_FIELD_NUMBER: int |
| name: typing.Text = ... |
| source: typing.Text = ... |
| db_type: typing.Text = ... |
| key: typing.Text = ... |
| |
| def __init__(self, |
| *, |
| name : typing.Optional[typing.Text] = ..., |
| source : typing.Optional[typing.Text] = ..., |
| db_type : typing.Optional[typing.Text] = ..., |
| key : typing.Optional[typing.Text] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"db_type",b"db_type",u"key",b"key",u"name",b"name",u"source",b"source"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"db_type",b"db_type",u"key",b"key",u"name",b"name",u"source",b"source"]) -> None: ... |
| global___DBReaderProto = DBReaderProto |
| |
| class BlobSerializationOptions(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| class _FloatFormat(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[FloatFormat], type): |
| DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor = ... |
| FLOAT_DEFAULT = BlobSerializationOptions.FloatFormat.V(0) |
| FLOAT_PROTOBUF = BlobSerializationOptions.FloatFormat.V(1) |
| FLOAT_BFLOAT16 = BlobSerializationOptions.FloatFormat.V(2) |
| class FloatFormat(metaclass=_FloatFormat): |
| V = typing.NewType('V', int) |
| FLOAT_DEFAULT = BlobSerializationOptions.FloatFormat.V(0) |
| FLOAT_PROTOBUF = BlobSerializationOptions.FloatFormat.V(1) |
| FLOAT_BFLOAT16 = BlobSerializationOptions.FloatFormat.V(2) |
| |
| BLOB_NAME_REGEX_FIELD_NUMBER: int |
| CHUNK_SIZE_FIELD_NUMBER: int |
| FLOAT_FORMAT_FIELD_NUMBER: int |
| blob_name_regex: typing.Text = ... |
| chunk_size: int = ... |
| float_format: global___BlobSerializationOptions.FloatFormat = ... |
| |
| def __init__(self, |
| *, |
| blob_name_regex : typing.Optional[typing.Text] = ..., |
| chunk_size : typing.Optional[int] = ..., |
| float_format : typing.Optional[global___BlobSerializationOptions.FloatFormat] = ..., |
| ) -> None: ... |
| def HasField(self, field_name: typing_extensions.Literal[u"blob_name_regex",b"blob_name_regex",u"chunk_size",b"chunk_size",u"float_format",b"float_format"]) -> bool: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"blob_name_regex",b"blob_name_regex",u"chunk_size",b"chunk_size",u"float_format",b"float_format"]) -> None: ... |
| global___BlobSerializationOptions = BlobSerializationOptions |
| |
| class SerializationOptions(google.protobuf.message.Message): |
| DESCRIPTOR: google.protobuf.descriptor.Descriptor = ... |
| OPTIONS_FIELD_NUMBER: int |
| |
| @property |
| def options(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___BlobSerializationOptions]: ... |
| |
| def __init__(self, |
| *, |
| options : typing.Optional[typing.Iterable[global___BlobSerializationOptions]] = ..., |
| ) -> None: ... |
| def ClearField(self, field_name: typing_extensions.Literal[u"options",b"options"]) -> None: ... |
| global___SerializationOptions = SerializationOptions |
| |
| DeviceType = int |
| |
| # These are freedom-patched into caffe2_pb2 in caffe2/proto/__init__.py |
| CPU: int = DeviceType.PROTO_CPU |
| CUDA: int = DeviceType.PROTO_CUDA |
| MKLDNN: int = DeviceType.PROTO_MKLDNN |
| OPENGL: int = DeviceType.PROTO_OPENGL |
| OPENCL: int = DeviceType.PROTO_OPENCL |
| IDEEP: int = DeviceType.PROTO_IDEEP |
| HIP: int = DeviceType.PROTO_HIP |
| COMPILE_TIME_MAX_DEVICE_TYPES: int = DeviceType.PROTO_COMPILE_TIME_MAX_DEVICE_TYPES |
