# Generated by the protocol buffer compiler. DO NOT EDIT! # source: tensorflow_serving/config/model_server_config.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf.internal import enum_type_wrapper 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 google.protobuf import any_pb2 as google_dot_protobuf_dot_any__pb2 from tensorboard_plugin_wit._vendor.tensorflow_serving.config import logging_config_pb2 as tensorflow__serving_dot_config_dot_logging__config__pb2 from tensorboard_plugin_wit._vendor.tensorflow_serving.sources.storage_path import file_system_storage_path_source_pb2 as tensorflow__serving_dot_sources_dot_storage__path_dot_file__system__storage__path__source__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='tensorflow_serving/config/model_server_config.proto', package='tensorflow.serving', syntax='proto3', serialized_options=_b('\370\001\001'), serialized_pb=_b('\n3tensorflow_serving/config/model_server_config.proto\x12\x12tensorflow.serving\x1a\x19google/protobuf/any.proto\x1a.tensorflow_serving/config/logging_config.proto\x1aMtensorflow_serving/sources/storage_path/file_system_storage_path_source.proto\"\xa9\x02\n\x0bModelConfig\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x11\n\tbase_path\x18\x02 \x01(\t\x12\x35\n\nmodel_type\x18\x03 \x01(\x0e\x32\x1d.tensorflow.serving.ModelTypeB\x02\x18\x01\x12\x16\n\x0emodel_platform\x18\x04 \x01(\t\x12i\n\x14model_version_policy\x18\x07 \x01(\x0b\x32K.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy\x12\x39\n\x0elogging_config\x18\x06 \x01(\x0b\x32!.tensorflow.serving.LoggingConfigJ\x04\x08\x05\x10\x06\"B\n\x0fModelConfigList\x12/\n\x06\x63onfig\x18\x01 \x03(\x0b\x32\x1f.tensorflow.serving.ModelConfig\"\x94\x01\n\x11ModelServerConfig\x12@\n\x11model_config_list\x18\x01 \x01(\x0b\x32#.tensorflow.serving.ModelConfigListH\x00\x12\x33\n\x13\x63ustom_model_config\x18\x02 \x01(\x0b\x32\x14.google.protobuf.AnyH\x00\x42\x08\n\x06\x63onfig*N\n\tModelType\x12\x1e\n\x16MODEL_TYPE_UNSPECIFIED\x10\x00\x1a\x02\x08\x01\x12\x12\n\nTENSORFLOW\x10\x01\x1a\x02\x08\x01\x12\r\n\x05OTHER\x10\x02\x1a\x02\x08\x01\x42\x03\xf8\x01\x01\x62\x06proto3') , dependencies=[google_dot_protobuf_dot_any__pb2.DESCRIPTOR,tensorflow__serving_dot_config_dot_logging__config__pb2.DESCRIPTOR,tensorflow__serving_dot_sources_dot_storage__path_dot_file__system__storage__path__source__pb2.DESCRIPTOR,]) _MODELTYPE = _descriptor.EnumDescriptor( name='ModelType', full_name='tensorflow.serving.ModelType', filename=None, file=DESCRIPTOR, values=[ _descriptor.EnumValueDescriptor( name='MODEL_TYPE_UNSPECIFIED', index=0, number=0, serialized_options=_b('\010\001'), type=None), _descriptor.EnumValueDescriptor( name='TENSORFLOW', index=1, number=1, serialized_options=_b('\010\001'), type=None), _descriptor.EnumValueDescriptor( name='OTHER', index=2, number=2, serialized_options=_b('\010\001'), type=None), ], containing_type=None, serialized_options=None, serialized_start=748, serialized_end=826, ) _sym_db.RegisterEnumDescriptor(_MODELTYPE) ModelType = enum_type_wrapper.EnumTypeWrapper(_MODELTYPE) MODEL_TYPE_UNSPECIFIED = 0 TENSORFLOW = 1 OTHER = 2 _MODELCONFIG = _descriptor.Descriptor( name='ModelConfig', full_name='tensorflow.serving.ModelConfig', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='name', full_name='tensorflow.serving.ModelConfig.name', index=0, number=1, 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, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='base_path', full_name='tensorflow.serving.ModelConfig.base_path', 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, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='model_type', full_name='tensorflow.serving.ModelConfig.model_type', index=2, number=3, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=_b('\030\001'), file=DESCRIPTOR), _descriptor.FieldDescriptor( name='model_platform', full_name='tensorflow.serving.ModelConfig.model_platform', index=3, number=4, 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, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='model_version_policy', full_name='tensorflow.serving.ModelConfig.model_version_policy', index=4, number=7, 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='logging_config', full_name='tensorflow.serving.ModelConfig.logging_config', index=5, number=6, 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=230, serialized_end=527, ) _MODELCONFIGLIST = _descriptor.Descriptor( name='ModelConfigList', full_name='tensorflow.serving.ModelConfigList', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='config', full_name='tensorflow.serving.ModelConfigList.config', 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), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=529, serialized_end=595, ) _MODELSERVERCONFIG = _descriptor.Descriptor( name='ModelServerConfig', full_name='tensorflow.serving.ModelServerConfig', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='model_config_list', full_name='tensorflow.serving.ModelServerConfig.model_config_list', 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='custom_model_config', full_name='tensorflow.serving.ModelServerConfig.custom_model_config', 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=[ _descriptor.OneofDescriptor( name='config', full_name='tensorflow.serving.ModelServerConfig.config', index=0, containing_type=None, fields=[]), ], serialized_start=598, serialized_end=746, ) _MODELCONFIG.fields_by_name['model_type'].enum_type = _MODELTYPE _MODELCONFIG.fields_by_name['model_version_policy'].message_type = tensorflow__serving_dot_sources_dot_storage__path_dot_file__system__storage__path__source__pb2._FILESYSTEMSTORAGEPATHSOURCECONFIG_SERVABLEVERSIONPOLICY _MODELCONFIG.fields_by_name['logging_config'].message_type = tensorflow__serving_dot_config_dot_logging__config__pb2._LOGGINGCONFIG _MODELCONFIGLIST.fields_by_name['config'].message_type = _MODELCONFIG _MODELSERVERCONFIG.fields_by_name['model_config_list'].message_type = _MODELCONFIGLIST _MODELSERVERCONFIG.fields_by_name['custom_model_config'].message_type = google_dot_protobuf_dot_any__pb2._ANY _MODELSERVERCONFIG.oneofs_by_name['config'].fields.append( _MODELSERVERCONFIG.fields_by_name['model_config_list']) _MODELSERVERCONFIG.fields_by_name['model_config_list'].containing_oneof = _MODELSERVERCONFIG.oneofs_by_name['config'] _MODELSERVERCONFIG.oneofs_by_name['config'].fields.append( _MODELSERVERCONFIG.fields_by_name['custom_model_config']) _MODELSERVERCONFIG.fields_by_name['custom_model_config'].containing_oneof = _MODELSERVERCONFIG.oneofs_by_name['config'] DESCRIPTOR.message_types_by_name['ModelConfig'] = _MODELCONFIG DESCRIPTOR.message_types_by_name['ModelConfigList'] = _MODELCONFIGLIST DESCRIPTOR.message_types_by_name['ModelServerConfig'] = _MODELSERVERCONFIG DESCRIPTOR.enum_types_by_name['ModelType'] = _MODELTYPE _sym_db.RegisterFileDescriptor(DESCRIPTOR) ModelConfig = _reflection.GeneratedProtocolMessageType('ModelConfig', (_message.Message,), dict( DESCRIPTOR = _MODELCONFIG, __module__ = 'tensorflow_serving.config.model_server_config_pb2' # @@protoc_insertion_point(class_scope:tensorflow.serving.ModelConfig) )) _sym_db.RegisterMessage(ModelConfig) ModelConfigList = _reflection.GeneratedProtocolMessageType('ModelConfigList', (_message.Message,), dict( DESCRIPTOR = _MODELCONFIGLIST, __module__ = 'tensorflow_serving.config.model_server_config_pb2' # @@protoc_insertion_point(class_scope:tensorflow.serving.ModelConfigList) )) _sym_db.RegisterMessage(ModelConfigList) ModelServerConfig = _reflection.GeneratedProtocolMessageType('ModelServerConfig', (_message.Message,), dict( DESCRIPTOR = _MODELSERVERCONFIG, __module__ = 'tensorflow_serving.config.model_server_config_pb2' # @@protoc_insertion_point(class_scope:tensorflow.serving.ModelServerConfig) )) _sym_db.RegisterMessage(ModelServerConfig) DESCRIPTOR._options = None _MODELTYPE.values_by_name["MODEL_TYPE_UNSPECIFIED"]._options = None _MODELTYPE.values_by_name["TENSORFLOW"]._options = None _MODELTYPE.values_by_name["OTHER"]._options = None _MODELCONFIG.fields_by_name['model_type']._options = None # @@protoc_insertion_point(module_scope)