pkg/tensorflow_serving/apis/model.pb.go (174 lines of code) (raw):

// Code generated by protoc-gen-go. DO NOT EDIT. // versions: // protoc-gen-go v1.28.1 // protoc v3.21.8 // source: tensorflow_serving/apis/model.proto package apis import ( protoreflect "google.golang.org/protobuf/reflect/protoreflect" protoimpl "google.golang.org/protobuf/runtime/protoimpl" wrapperspb "google.golang.org/protobuf/types/known/wrapperspb" reflect "reflect" sync "sync" ) const ( // Verify that this generated code is sufficiently up-to-date. _ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion) // Verify that runtime/protoimpl is sufficiently up-to-date. _ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20) ) // Metadata for an inference request such as the model name and version. type ModelSpec struct { state protoimpl.MessageState sizeCache protoimpl.SizeCache unknownFields protoimpl.UnknownFields // Required servable name. Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` // Optional choice of which version of the model to use. // // Recommended to be left unset in the common case. Should be specified only // when there is a strong version consistency requirement. // // When left unspecified, the system will serve the best available version. // This is typically the latest version, though during version transitions, // notably when serving on a fleet of instances, may be either the previous or // new version. // // Types that are assignable to VersionChoice: // // *ModelSpec_Version // *ModelSpec_VersionLabel VersionChoice isModelSpec_VersionChoice `protobuf_oneof:"version_choice"` // A named signature to evaluate. If unspecified, the default signature will // be used. SignatureName string `protobuf:"bytes,3,opt,name=signature_name,json=signatureName,proto3" json:"signature_name,omitempty"` } func (x *ModelSpec) Reset() { *x = ModelSpec{} if protoimpl.UnsafeEnabled { mi := &file_tensorflow_serving_apis_model_proto_msgTypes[0] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } } func (x *ModelSpec) String() string { return protoimpl.X.MessageStringOf(x) } func (*ModelSpec) ProtoMessage() {} func (x *ModelSpec) ProtoReflect() protoreflect.Message { mi := &file_tensorflow_serving_apis_model_proto_msgTypes[0] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { ms.StoreMessageInfo(mi) } return ms } return mi.MessageOf(x) } // Deprecated: Use ModelSpec.ProtoReflect.Descriptor instead. func (*ModelSpec) Descriptor() ([]byte, []int) { return file_tensorflow_serving_apis_model_proto_rawDescGZIP(), []int{0} } func (x *ModelSpec) GetName() string { if x != nil { return x.Name } return "" } func (m *ModelSpec) GetVersionChoice() isModelSpec_VersionChoice { if m != nil { return m.VersionChoice } return nil } func (x *ModelSpec) GetVersion() *wrapperspb.Int64Value { if x, ok := x.GetVersionChoice().(*ModelSpec_Version); ok { return x.Version } return nil } func (x *ModelSpec) GetVersionLabel() string { if x, ok := x.GetVersionChoice().(*ModelSpec_VersionLabel); ok { return x.VersionLabel } return "" } func (x *ModelSpec) GetSignatureName() string { if x != nil { return x.SignatureName } return "" } type isModelSpec_VersionChoice interface { isModelSpec_VersionChoice() } type ModelSpec_Version struct { // Use this specific version number. Version *wrapperspb.Int64Value `protobuf:"bytes,2,opt,name=version,proto3,oneof"` } type ModelSpec_VersionLabel struct { // Use the version associated with the given label. VersionLabel string `protobuf:"bytes,4,opt,name=version_label,json=versionLabel,proto3,oneof"` } func (*ModelSpec_Version) isModelSpec_VersionChoice() {} func (*ModelSpec_VersionLabel) isModelSpec_VersionChoice() {} var File_tensorflow_serving_apis_model_proto protoreflect.FileDescriptor var file_tensorflow_serving_apis_model_proto_rawDesc = []byte{ 0x0a, 0x23, 0x74, 0x65, 0x6e, 0x73, 0x6f, 0x72, 0x66, 0x6c, 0x6f, 0x77, 0x5f, 0x73, 0x65, 0x72, 0x76, 0x69, 0x6e, 0x67, 0x2f, 0x61, 0x70, 0x69, 0x73, 0x2f, 0x6d, 0x6f, 0x64, 0x65, 0x6c, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x12, 0x12, 0x74, 0x65, 0x6e, 0x73, 0x6f, 0x72, 0x66, 0x6c, 0x6f, 0x77, 0x2e, 0x73, 0x65, 0x72, 0x76, 0x69, 0x6e, 0x67, 0x1a, 0x1e, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x75, 0x66, 0x2f, 0x77, 0x72, 0x61, 0x70, 0x70, 0x65, 0x72, 0x73, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x22, 0xb8, 0x01, 0x0a, 0x09, 0x4d, 0x6f, 0x64, 0x65, 0x6c, 0x53, 0x70, 0x65, 0x63, 0x12, 0x12, 0x0a, 0x04, 0x6e, 0x61, 0x6d, 0x65, 0x18, 0x01, 0x20, 0x01, 0x28, 0x09, 0x52, 0x04, 0x6e, 0x61, 0x6d, 0x65, 0x12, 0x37, 0x0a, 0x07, 0x76, 0x65, 0x72, 0x73, 0x69, 0x6f, 0x6e, 0x18, 0x02, 0x20, 0x01, 0x28, 0x0b, 0x32, 0x1b, 0x2e, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x75, 0x66, 0x2e, 0x49, 0x6e, 0x74, 0x36, 0x34, 0x56, 0x61, 0x6c, 0x75, 0x65, 0x48, 0x00, 0x52, 0x07, 0x76, 0x65, 0x72, 0x73, 0x69, 0x6f, 0x6e, 0x12, 0x25, 0x0a, 0x0d, 0x76, 0x65, 0x72, 0x73, 0x69, 0x6f, 0x6e, 0x5f, 0x6c, 0x61, 0x62, 0x65, 0x6c, 0x18, 0x04, 0x20, 0x01, 0x28, 0x09, 0x48, 0x00, 0x52, 0x0c, 0x76, 0x65, 0x72, 0x73, 0x69, 0x6f, 0x6e, 0x4c, 0x61, 0x62, 0x65, 0x6c, 0x12, 0x25, 0x0a, 0x0e, 0x73, 0x69, 0x67, 0x6e, 0x61, 0x74, 0x75, 0x72, 0x65, 0x5f, 0x6e, 0x61, 0x6d, 0x65, 0x18, 0x03, 0x20, 0x01, 0x28, 0x09, 0x52, 0x0d, 0x73, 0x69, 0x67, 0x6e, 0x61, 0x74, 0x75, 0x72, 0x65, 0x4e, 0x61, 0x6d, 0x65, 0x42, 0x10, 0x0a, 0x0e, 0x76, 0x65, 0x72, 0x73, 0x69, 0x6f, 0x6e, 0x5f, 0x63, 0x68, 0x6f, 0x69, 0x63, 0x65, 0x42, 0x0c, 0x5a, 0x07, 0x2e, 0x2f, 0x3b, 0x61, 0x70, 0x69, 0x73, 0xf8, 0x01, 0x01, 0x62, 0x06, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x33, } var ( file_tensorflow_serving_apis_model_proto_rawDescOnce sync.Once file_tensorflow_serving_apis_model_proto_rawDescData = file_tensorflow_serving_apis_model_proto_rawDesc ) func file_tensorflow_serving_apis_model_proto_rawDescGZIP() []byte { file_tensorflow_serving_apis_model_proto_rawDescOnce.Do(func() { file_tensorflow_serving_apis_model_proto_rawDescData = protoimpl.X.CompressGZIP(file_tensorflow_serving_apis_model_proto_rawDescData) }) return file_tensorflow_serving_apis_model_proto_rawDescData } var file_tensorflow_serving_apis_model_proto_msgTypes = make([]protoimpl.MessageInfo, 1) var file_tensorflow_serving_apis_model_proto_goTypes = []interface{}{ (*ModelSpec)(nil), // 0: tensorflow.serving.ModelSpec (*wrapperspb.Int64Value)(nil), // 1: google.protobuf.Int64Value } var file_tensorflow_serving_apis_model_proto_depIdxs = []int32{ 1, // 0: tensorflow.serving.ModelSpec.version:type_name -> google.protobuf.Int64Value 1, // [1:1] is the sub-list for method output_type 1, // [1:1] is the sub-list for method input_type 1, // [1:1] is the sub-list for extension type_name 1, // [1:1] is the sub-list for extension extendee 0, // [0:1] is the sub-list for field type_name } func init() { file_tensorflow_serving_apis_model_proto_init() } func file_tensorflow_serving_apis_model_proto_init() { if File_tensorflow_serving_apis_model_proto != nil { return } if !protoimpl.UnsafeEnabled { file_tensorflow_serving_apis_model_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { switch v := v.(*ModelSpec); i { case 0: return &v.state case 1: return &v.sizeCache case 2: return &v.unknownFields default: return nil } } } file_tensorflow_serving_apis_model_proto_msgTypes[0].OneofWrappers = []interface{}{ (*ModelSpec_Version)(nil), (*ModelSpec_VersionLabel)(nil), } type x struct{} out := protoimpl.TypeBuilder{ File: protoimpl.DescBuilder{ GoPackagePath: reflect.TypeOf(x{}).PkgPath(), RawDescriptor: file_tensorflow_serving_apis_model_proto_rawDesc, NumEnums: 0, NumMessages: 1, NumExtensions: 0, NumServices: 0, }, GoTypes: file_tensorflow_serving_apis_model_proto_goTypes, DependencyIndexes: file_tensorflow_serving_apis_model_proto_depIdxs, MessageInfos: file_tensorflow_serving_apis_model_proto_msgTypes, }.Build() File_tensorflow_serving_apis_model_proto = out.File file_tensorflow_serving_apis_model_proto_rawDesc = nil file_tensorflow_serving_apis_model_proto_goTypes = nil file_tensorflow_serving_apis_model_proto_depIdxs = nil }