# Generated by the protocol buffer compiler. DO NOT EDIT! # source: oneflow/customized/utils/projector.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database from google.protobuf import descriptor_pb2 # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() DESCRIPTOR = _descriptor.FileDescriptor( name='oneflow/customized/utils/projector.proto', package='oneflow', syntax='proto2', serialized_pb=_b('\n(oneflow/customized/utils/projector.proto\x12\x07oneflow\"y\n\x08MetaData\x12-\n\x04type\x18\x01 \x02(\x0e\x32\x1f.oneflow.MetaData.ProjectorType\x12\x0f\n\x07\x63ontent\x18\x02 \x01(\t\"-\n\rProjectorType\x12\r\n\tEMBEDDING\x10\x00\x12\r\n\tEXCEPTION\x10\x01\"\xb4\x01\n\x06Tensor\x12\r\n\x05\x64type\x18\x01 \x02(\t\x12*\n\x05shape\x18\x02 \x02(\x0b\x32\x1b.oneflow.Tensor.TensorShape\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\x0c\x1a^\n\x0bTensorShape\x12,\n\x03\x64im\x18\x01 \x03(\x0b\x32\x1f.oneflow.Tensor.TensorShape.Dim\x1a!\n\x03\x44im\x12\x0c\n\x04size\x18\x01 \x02(\x03\x12\x0c\n\x04name\x18\x02 \x01(\t\"\x8a\x01\n\x06Sample\x12\x0c\n\x04name\x18\x01 \x02(\t\x12(\n\x04type\x18\x02 \x02(\x0e\x32\x1a.oneflow.Sample.SampleType\x12\x1a\n\x01X\x18\x03 \x02(\x0b\x32\x0f.oneflow.Tensor\",\n\nSampleType\x12\t\n\x05IMAGE\x10\x00\x12\t\n\x05\x41UDIO\x10\x01\x12\x08\n\x04TEXT\x10\x02\"y\n\tProjector\x12\x0b\n\x03tag\x18\x01 \x02(\t\x12\x0c\n\x04step\x18\x02 \x01(\x03\x12\x11\n\tWALL_TIME\x18\x03 \x02(\x01\x12\x1e\n\x05value\x18\x04 \x02(\x0b\x32\x0f.oneflow.Tensor\x12\x1e\n\x05label\x18\x05 \x01(\x0b\x32\x0f.oneflow.Tensor\"\x7f\n\x10SummaryProjector\x12#\n\x08metadata\x18\x06 \x02(\x0b\x32\x11.oneflow.MetaData\x12\x1f\n\x06sample\x18\x02 \x01(\x0b\x32\x0f.oneflow.Sample\x12%\n\tprojector\x18\x01 \x03(\x0b\x32\x12.oneflow.Projector') ) _sym_db.RegisterFileDescriptor(DESCRIPTOR) _METADATA_PROJECTORTYPE = _descriptor.EnumDescriptor( name='ProjectorType', full_name='oneflow.MetaData.ProjectorType', filename=None, file=DESCRIPTOR, values=[ _descriptor.EnumValueDescriptor( name='EMBEDDING', index=0, number=0, options=None, type=None), _descriptor.EnumValueDescriptor( name='EXCEPTION', index=1, number=1, options=None, type=None), ], containing_type=None, options=None, serialized_start=129, serialized_end=174, ) _sym_db.RegisterEnumDescriptor(_METADATA_PROJECTORTYPE) _SAMPLE_SAMPLETYPE = _descriptor.EnumDescriptor( name='SampleType', full_name='oneflow.Sample.SampleType', filename=None, file=DESCRIPTOR, values=[ _descriptor.EnumValueDescriptor( name='IMAGE', index=0, number=0, options=None, type=None), _descriptor.EnumValueDescriptor( name='AUDIO', index=1, number=1, options=None, type=None), _descriptor.EnumValueDescriptor( name='TEXT', index=2, number=2, options=None, type=None), ], containing_type=None, options=None, serialized_start=454, serialized_end=498, ) _sym_db.RegisterEnumDescriptor(_SAMPLE_SAMPLETYPE) _METADATA = _descriptor.Descriptor( name='MetaData', full_name='oneflow.MetaData', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='type', full_name='oneflow.MetaData.type', index=0, number=1, type=14, cpp_type=8, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='content', full_name='oneflow.MetaData.content', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ _METADATA_PROJECTORTYPE, ], options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=53, serialized_end=174, ) _TENSOR_TENSORSHAPE_DIM = _descriptor.Descriptor( name='Dim', full_name='oneflow.Tensor.TensorShape.Dim', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='size', full_name='oneflow.Tensor.TensorShape.Dim.size', index=0, number=1, type=3, cpp_type=2, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='name', full_name='oneflow.Tensor.TensorShape.Dim.name', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=324, serialized_end=357, ) _TENSOR_TENSORSHAPE = _descriptor.Descriptor( name='TensorShape', full_name='oneflow.Tensor.TensorShape', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='dim', full_name='oneflow.Tensor.TensorShape.dim', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[_TENSOR_TENSORSHAPE_DIM, ], enum_types=[ ], options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=263, serialized_end=357, ) _TENSOR = _descriptor.Descriptor( name='Tensor', full_name='oneflow.Tensor', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='dtype', full_name='oneflow.Tensor.dtype', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='shape', full_name='oneflow.Tensor.shape', index=1, number=2, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='content', full_name='oneflow.Tensor.content', index=2, number=3, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[_TENSOR_TENSORSHAPE, ], enum_types=[ ], options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=177, serialized_end=357, ) _SAMPLE = _descriptor.Descriptor( name='Sample', full_name='oneflow.Sample', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='name', full_name='oneflow.Sample.name', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='type', full_name='oneflow.Sample.type', index=1, number=2, type=14, cpp_type=8, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='X', full_name='oneflow.Sample.X', index=2, number=3, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ _SAMPLE_SAMPLETYPE, ], options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=360, serialized_end=498, ) _PROJECTOR = _descriptor.Descriptor( name='Projector', full_name='oneflow.Projector', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='tag', full_name='oneflow.Projector.tag', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='step', full_name='oneflow.Projector.step', index=1, number=2, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='WALL_TIME', full_name='oneflow.Projector.WALL_TIME', index=2, number=3, type=1, cpp_type=5, label=2, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='value', full_name='oneflow.Projector.value', index=3, number=4, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='label', full_name='oneflow.Projector.label', index=4, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=500, serialized_end=621, ) _SUMMARYPROJECTOR = _descriptor.Descriptor( name='SummaryProjector', full_name='oneflow.SummaryProjector', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='metadata', full_name='oneflow.SummaryProjector.metadata', index=0, number=6, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='sample', full_name='oneflow.SummaryProjector.sample', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='projector', full_name='oneflow.SummaryProjector.projector', index=2, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=623, serialized_end=750, ) _METADATA.fields_by_name['type'].enum_type = _METADATA_PROJECTORTYPE _METADATA_PROJECTORTYPE.containing_type = _METADATA _TENSOR_TENSORSHAPE_DIM.containing_type = _TENSOR_TENSORSHAPE _TENSOR_TENSORSHAPE.fields_by_name['dim'].message_type = _TENSOR_TENSORSHAPE_DIM _TENSOR_TENSORSHAPE.containing_type = _TENSOR _TENSOR.fields_by_name['shape'].message_type = _TENSOR_TENSORSHAPE _SAMPLE.fields_by_name['type'].enum_type = _SAMPLE_SAMPLETYPE _SAMPLE.fields_by_name['X'].message_type = _TENSOR _SAMPLE_SAMPLETYPE.containing_type = _SAMPLE _PROJECTOR.fields_by_name['value'].message_type = _TENSOR _PROJECTOR.fields_by_name['label'].message_type = _TENSOR _SUMMARYPROJECTOR.fields_by_name['metadata'].message_type = _METADATA _SUMMARYPROJECTOR.fields_by_name['sample'].message_type = _SAMPLE _SUMMARYPROJECTOR.fields_by_name['projector'].message_type = _PROJECTOR DESCRIPTOR.message_types_by_name['MetaData'] = _METADATA DESCRIPTOR.message_types_by_name['Tensor'] = _TENSOR DESCRIPTOR.message_types_by_name['Sample'] = _SAMPLE DESCRIPTOR.message_types_by_name['Projector'] = _PROJECTOR DESCRIPTOR.message_types_by_name['SummaryProjector'] = _SUMMARYPROJECTOR MetaData = _reflection.GeneratedProtocolMessageType('MetaData', (_message.Message,), dict( DESCRIPTOR = _METADATA, __module__ = 'oneflow.customized.utils.projector_pb2' # @@protoc_insertion_point(class_scope:oneflow.MetaData) )) _sym_db.RegisterMessage(MetaData) Tensor = _reflection.GeneratedProtocolMessageType('Tensor', (_message.Message,), dict( TensorShape = _reflection.GeneratedProtocolMessageType('TensorShape', (_message.Message,), dict( Dim = _reflection.GeneratedProtocolMessageType('Dim', (_message.Message,), dict( DESCRIPTOR = _TENSOR_TENSORSHAPE_DIM, __module__ = 'oneflow.customized.utils.projector_pb2' # @@protoc_insertion_point(class_scope:oneflow.Tensor.TensorShape.Dim) )) , DESCRIPTOR = _TENSOR_TENSORSHAPE, __module__ = 'oneflow.customized.utils.projector_pb2' # @@protoc_insertion_point(class_scope:oneflow.Tensor.TensorShape) )) , DESCRIPTOR = _TENSOR, __module__ = 'oneflow.customized.utils.projector_pb2' # @@protoc_insertion_point(class_scope:oneflow.Tensor) )) _sym_db.RegisterMessage(Tensor) _sym_db.RegisterMessage(Tensor.TensorShape) _sym_db.RegisterMessage(Tensor.TensorShape.Dim) Sample = _reflection.GeneratedProtocolMessageType('Sample', (_message.Message,), dict( DESCRIPTOR = _SAMPLE, __module__ = 'oneflow.customized.utils.projector_pb2' # @@protoc_insertion_point(class_scope:oneflow.Sample) )) _sym_db.RegisterMessage(Sample) Projector = _reflection.GeneratedProtocolMessageType('Projector', (_message.Message,), dict( DESCRIPTOR = _PROJECTOR, __module__ = 'oneflow.customized.utils.projector_pb2' # @@protoc_insertion_point(class_scope:oneflow.Projector) )) _sym_db.RegisterMessage(Projector) SummaryProjector = _reflection.GeneratedProtocolMessageType('SummaryProjector', (_message.Message,), dict( DESCRIPTOR = _SUMMARYPROJECTOR, __module__ = 'oneflow.customized.utils.projector_pb2' # @@protoc_insertion_point(class_scope:oneflow.SummaryProjector) )) _sym_db.RegisterMessage(SummaryProjector) # @@protoc_insertion_point(module_scope)