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|
"""
@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
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