# Generated by the protocol buffer compiler. DO NOT EDIT! # source: tensorflow_serving/apis/session_service.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 # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from tensorboard_plugin_wit._vendor.tensorflow_serving.apis import model_pb2 as tensorflow__serving_dot_apis_dot_model__pb2 from tensorflow.core.protobuf import config_pb2 as tensorflow_dot_core_dot_protobuf_dot_config__pb2 from tensorflow.core.protobuf import named_tensor_pb2 as tensorflow_dot_core_dot_protobuf_dot_named__tensor__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='tensorflow_serving/apis/session_service.proto', package='tensorflow.serving', syntax='proto3', serialized_options=_b('\370\001\001'), serialized_pb=_b('\n-tensorflow_serving/apis/session_service.proto\x12\x12tensorflow.serving\x1a#tensorflow_serving/apis/model.proto\x1a%tensorflow/core/protobuf/config.proto\x1a+tensorflow/core/protobuf/named_tensor.proto\"\xba\x01\n\x11SessionRunRequest\x12\x31\n\nmodel_spec\x18\x01 \x01(\x0b\x32\x1d.tensorflow.serving.ModelSpec\x12*\n\x04\x66\x65\x65\x64\x18\x02 \x03(\x0b\x32\x1c.tensorflow.NamedTensorProto\x12\r\n\x05\x66\x65tch\x18\x03 \x03(\t\x12\x0e\n\x06target\x18\x04 \x03(\t\x12\'\n\x07options\x18\x05 \x01(\x0b\x32\x16.tensorflow.RunOptions\"m\n\x12SessionRunResponse\x12,\n\x06tensor\x18\x01 \x03(\x0b\x32\x1c.tensorflow.NamedTensorProto\x12)\n\x08metadata\x18\x02 \x01(\x0b\x32\x17.tensorflow.RunMetadata2m\n\x0eSessionService\x12[\n\nSessionRun\x12%.tensorflow.serving.SessionRunRequest\x1a&.tensorflow.serving.SessionRunResponseB\x03\xf8\x01\x01\x62\x06proto3') , dependencies=[tensorflow__serving_dot_apis_dot_model__pb2.DESCRIPTOR,tensorflow_dot_core_dot_protobuf_dot_config__pb2.DESCRIPTOR,tensorflow_dot_core_dot_protobuf_dot_named__tensor__pb2.DESCRIPTOR,]) _SESSIONRUNREQUEST = _descriptor.Descriptor( name='SessionRunRequest', full_name='tensorflow.serving.SessionRunRequest', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='model_spec', full_name='tensorflow.serving.SessionRunRequest.model_spec', index=0, number=1, 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, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='feed', full_name='tensorflow.serving.SessionRunRequest.feed', index=1, number=2, 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, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='fetch', full_name='tensorflow.serving.SessionRunRequest.fetch', index=2, number=3, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='target', full_name='tensorflow.serving.SessionRunRequest.target', index=3, number=4, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='options', full_name='tensorflow.serving.SessionRunRequest.options', 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, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=191, serialized_end=377, ) _SESSIONRUNRESPONSE = _descriptor.Descriptor( name='SessionRunResponse', full_name='tensorflow.serving.SessionRunResponse', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='tensor', full_name='tensorflow.serving.SessionRunResponse.tensor', 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, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='metadata', full_name='tensorflow.serving.SessionRunResponse.metadata', 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, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=379, serialized_end=488, ) _SESSIONRUNREQUEST.fields_by_name['model_spec'].message_type = tensorflow__serving_dot_apis_dot_model__pb2._MODELSPEC _SESSIONRUNREQUEST.fields_by_name['feed'].message_type = tensorflow_dot_core_dot_protobuf_dot_named__tensor__pb2._NAMEDTENSORPROTO _SESSIONRUNREQUEST.fields_by_name['options'].message_type = tensorflow_dot_core_dot_protobuf_dot_config__pb2._RUNOPTIONS _SESSIONRUNRESPONSE.fields_by_name['tensor'].message_type = tensorflow_dot_core_dot_protobuf_dot_named__tensor__pb2._NAMEDTENSORPROTO _SESSIONRUNRESPONSE.fields_by_name['metadata'].message_type = tensorflow_dot_core_dot_protobuf_dot_config__pb2._RUNMETADATA DESCRIPTOR.message_types_by_name['SessionRunRequest'] = _SESSIONRUNREQUEST DESCRIPTOR.message_types_by_name['SessionRunResponse'] = _SESSIONRUNRESPONSE _sym_db.RegisterFileDescriptor(DESCRIPTOR) SessionRunRequest = _reflection.GeneratedProtocolMessageType('SessionRunRequest', (_message.Message,), dict( DESCRIPTOR = _SESSIONRUNREQUEST, __module__ = 'tensorflow_serving.apis.session_service_pb2' # @@protoc_insertion_point(class_scope:tensorflow.serving.SessionRunRequest) )) _sym_db.RegisterMessage(SessionRunRequest) SessionRunResponse = _reflection.GeneratedProtocolMessageType('SessionRunResponse', (_message.Message,), dict( DESCRIPTOR = _SESSIONRUNRESPONSE, __module__ = 'tensorflow_serving.apis.session_service_pb2' # @@protoc_insertion_point(class_scope:tensorflow.serving.SessionRunResponse) )) _sym_db.RegisterMessage(SessionRunResponse) DESCRIPTOR._options = None _SESSIONSERVICE = _descriptor.ServiceDescriptor( name='SessionService', full_name='tensorflow.serving.SessionService', file=DESCRIPTOR, index=0, serialized_options=None, serialized_start=490, serialized_end=599, methods=[ _descriptor.MethodDescriptor( name='SessionRun', full_name='tensorflow.serving.SessionService.SessionRun', index=0, containing_service=None, input_type=_SESSIONRUNREQUEST, output_type=_SESSIONRUNRESPONSE, serialized_options=None, ), ]) _sym_db.RegisterServiceDescriptor(_SESSIONSERVICE) DESCRIPTOR.services_by_name['SessionService'] = _SESSIONSERVICE # @@protoc_insertion_point(module_scope)