pytorch/caffe2/proto/caffe2_legacy_pb2.pyi
Stephen Macke c821b83ab3 [typing] make mypy-protobuf output compatible with pyre for caffe2 type stubs (#55294)
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
2021-04-05 03:23:31 -07:00

59 lines
2.2 KiB
Python

"""
@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___LegacyPadding = LegacyPadding
class _LegacyPadding(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[LegacyPadding], type):
DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor = ...
NOTSET = LegacyPadding.V(0)
VALID = LegacyPadding.V(1)
SAME = LegacyPadding.V(2)
CAFFE_LEGACY_POOLING = LegacyPadding.V(3)
class LegacyPadding(metaclass=_LegacyPadding):
V = typing.NewType('V', int)
NOTSET = LegacyPadding.V(0)
VALID = LegacyPadding.V(1)
SAME = LegacyPadding.V(2)
CAFFE_LEGACY_POOLING = LegacyPadding.V(3)
class CaffeDatum(google.protobuf.message.Message):
DESCRIPTOR: google.protobuf.descriptor.Descriptor = ...
CHANNELS_FIELD_NUMBER: int
HEIGHT_FIELD_NUMBER: int
WIDTH_FIELD_NUMBER: int
DATA_FIELD_NUMBER: int
LABEL_FIELD_NUMBER: int
FLOAT_DATA_FIELD_NUMBER: int
ENCODED_FIELD_NUMBER: int
channels: int = ...
height: int = ...
width: int = ...
data: bytes = ...
label: int = ...
float_data: google.protobuf.internal.containers.RepeatedScalarFieldContainer[float] = ...
encoded: bool = ...
def __init__(self,
*,
channels : typing.Optional[int] = ...,
height : typing.Optional[int] = ...,
width : typing.Optional[int] = ...,
data : typing.Optional[bytes] = ...,
label : typing.Optional[int] = ...,
float_data : typing.Optional[typing.Iterable[float]] = ...,
encoded : typing.Optional[bool] = ...,
) -> None: ...
def HasField(self, field_name: typing_extensions.Literal[u"channels",b"channels",u"data",b"data",u"encoded",b"encoded",u"height",b"height",u"label",b"label",u"width",b"width"]) -> bool: ...
def ClearField(self, field_name: typing_extensions.Literal[u"channels",b"channels",u"data",b"data",u"encoded",b"encoded",u"float_data",b"float_data",u"height",b"height",u"label",b"label",u"width",b"width"]) -> None: ...
global___CaffeDatum = CaffeDatum