| // Copyright 2023 Google LLC |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| |
| // Code generated by protoc-gen-go. DO NOT EDIT. |
| // versions: |
| // protoc-gen-go v1.33.0 |
| // protoc v4.25.3 |
| // source: google/cloud/aiplatform/v1beta1/tensorboard_time_series.proto |
| |
| package aiplatformpb |
| |
| import ( |
| reflect "reflect" |
| sync "sync" |
| |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| protoreflect "google.golang.org/protobuf/reflect/protoreflect" |
| protoimpl "google.golang.org/protobuf/runtime/protoimpl" |
| timestamppb "google.golang.org/protobuf/types/known/timestamppb" |
| ) |
| |
| 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) |
| ) |
| |
| // An enum representing the value type of a TensorboardTimeSeries. |
| type TensorboardTimeSeries_ValueType int32 |
| |
| const ( |
| // The value type is unspecified. |
| TensorboardTimeSeries_VALUE_TYPE_UNSPECIFIED TensorboardTimeSeries_ValueType = 0 |
| // Used for TensorboardTimeSeries that is a list of scalars. |
| // E.g. accuracy of a model over epochs/time. |
| TensorboardTimeSeries_SCALAR TensorboardTimeSeries_ValueType = 1 |
| // Used for TensorboardTimeSeries that is a list of tensors. |
| // E.g. histograms of weights of layer in a model over epoch/time. |
| TensorboardTimeSeries_TENSOR TensorboardTimeSeries_ValueType = 2 |
| // Used for TensorboardTimeSeries that is a list of blob sequences. |
| // E.g. set of sample images with labels over epochs/time. |
| TensorboardTimeSeries_BLOB_SEQUENCE TensorboardTimeSeries_ValueType = 3 |
| ) |
| |
| // Enum value maps for TensorboardTimeSeries_ValueType. |
| var ( |
| TensorboardTimeSeries_ValueType_name = map[int32]string{ |
| 0: "VALUE_TYPE_UNSPECIFIED", |
| 1: "SCALAR", |
| 2: "TENSOR", |
| 3: "BLOB_SEQUENCE", |
| } |
| TensorboardTimeSeries_ValueType_value = map[string]int32{ |
| "VALUE_TYPE_UNSPECIFIED": 0, |
| "SCALAR": 1, |
| "TENSOR": 2, |
| "BLOB_SEQUENCE": 3, |
| } |
| ) |
| |
| func (x TensorboardTimeSeries_ValueType) Enum() *TensorboardTimeSeries_ValueType { |
| p := new(TensorboardTimeSeries_ValueType) |
| *p = x |
| return p |
| } |
| |
| func (x TensorboardTimeSeries_ValueType) String() string { |
| return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x)) |
| } |
| |
| func (TensorboardTimeSeries_ValueType) Descriptor() protoreflect.EnumDescriptor { |
| return file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_enumTypes[0].Descriptor() |
| } |
| |
| func (TensorboardTimeSeries_ValueType) Type() protoreflect.EnumType { |
| return &file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_enumTypes[0] |
| } |
| |
| func (x TensorboardTimeSeries_ValueType) Number() protoreflect.EnumNumber { |
| return protoreflect.EnumNumber(x) |
| } |
| |
| // Deprecated: Use TensorboardTimeSeries_ValueType.Descriptor instead. |
| func (TensorboardTimeSeries_ValueType) EnumDescriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_rawDescGZIP(), []int{0, 0} |
| } |
| |
| // TensorboardTimeSeries maps to times series produced in training runs |
| type TensorboardTimeSeries struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Output only. Name of the TensorboardTimeSeries. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| // Required. User provided name of this TensorboardTimeSeries. |
| // This value should be unique among all TensorboardTimeSeries resources |
| // belonging to the same TensorboardRun resource (parent resource). |
| DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"` |
| // Description of this TensorboardTimeSeries. |
| Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"` |
| // Required. Immutable. Type of TensorboardTimeSeries value. |
| ValueType TensorboardTimeSeries_ValueType `protobuf:"varint,4,opt,name=value_type,json=valueType,proto3,enum=google.cloud.aiplatform.v1beta1.TensorboardTimeSeries_ValueType" json:"value_type,omitempty"` |
| // Output only. Timestamp when this TensorboardTimeSeries was created. |
| CreateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` |
| // Output only. Timestamp when this TensorboardTimeSeries was last updated. |
| UpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"` |
| // Used to perform a consistent read-modify-write updates. If not set, a blind |
| // "overwrite" update happens. |
| Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"` |
| // Immutable. Name of the plugin this time series pertain to. Such as Scalar, |
| // Tensor, Blob |
| PluginName string `protobuf:"bytes,8,opt,name=plugin_name,json=pluginName,proto3" json:"plugin_name,omitempty"` |
| // Data of the current plugin, with the size limited to 65KB. |
| PluginData []byte `protobuf:"bytes,9,opt,name=plugin_data,json=pluginData,proto3" json:"plugin_data,omitempty"` |
| // Output only. Scalar, Tensor, or Blob metadata for this |
| // TensorboardTimeSeries. |
| Metadata *TensorboardTimeSeries_Metadata `protobuf:"bytes,10,opt,name=metadata,proto3" json:"metadata,omitempty"` |
| } |
| |
| func (x *TensorboardTimeSeries) Reset() { |
| *x = TensorboardTimeSeries{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TensorboardTimeSeries) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TensorboardTimeSeries) ProtoMessage() {} |
| |
| func (x *TensorboardTimeSeries) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_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 TensorboardTimeSeries.ProtoReflect.Descriptor instead. |
| func (*TensorboardTimeSeries) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (x *TensorboardTimeSeries) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *TensorboardTimeSeries) GetDisplayName() string { |
| if x != nil { |
| return x.DisplayName |
| } |
| return "" |
| } |
| |
| func (x *TensorboardTimeSeries) GetDescription() string { |
| if x != nil { |
| return x.Description |
| } |
| return "" |
| } |
| |
| func (x *TensorboardTimeSeries) GetValueType() TensorboardTimeSeries_ValueType { |
| if x != nil { |
| return x.ValueType |
| } |
| return TensorboardTimeSeries_VALUE_TYPE_UNSPECIFIED |
| } |
| |
| func (x *TensorboardTimeSeries) GetCreateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| func (x *TensorboardTimeSeries) GetUpdateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.UpdateTime |
| } |
| return nil |
| } |
| |
| func (x *TensorboardTimeSeries) GetEtag() string { |
| if x != nil { |
| return x.Etag |
| } |
| return "" |
| } |
| |
| func (x *TensorboardTimeSeries) GetPluginName() string { |
| if x != nil { |
| return x.PluginName |
| } |
| return "" |
| } |
| |
| func (x *TensorboardTimeSeries) GetPluginData() []byte { |
| if x != nil { |
| return x.PluginData |
| } |
| return nil |
| } |
| |
| func (x *TensorboardTimeSeries) GetMetadata() *TensorboardTimeSeries_Metadata { |
| if x != nil { |
| return x.Metadata |
| } |
| return nil |
| } |
| |
| // Describes metadata for a TensorboardTimeSeries. |
| type TensorboardTimeSeries_Metadata struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Output only. Max step index of all data points within a |
| // TensorboardTimeSeries. |
| MaxStep int64 `protobuf:"varint,1,opt,name=max_step,json=maxStep,proto3" json:"max_step,omitempty"` |
| // Output only. Max wall clock timestamp of all data points within a |
| // TensorboardTimeSeries. |
| MaxWallTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=max_wall_time,json=maxWallTime,proto3" json:"max_wall_time,omitempty"` |
| // Output only. The largest blob sequence length (number of blobs) of all |
| // data points in this time series, if its ValueType is BLOB_SEQUENCE. |
| MaxBlobSequenceLength int64 `protobuf:"varint,3,opt,name=max_blob_sequence_length,json=maxBlobSequenceLength,proto3" json:"max_blob_sequence_length,omitempty"` |
| } |
| |
| func (x *TensorboardTimeSeries_Metadata) Reset() { |
| *x = TensorboardTimeSeries_Metadata{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TensorboardTimeSeries_Metadata) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TensorboardTimeSeries_Metadata) ProtoMessage() {} |
| |
| func (x *TensorboardTimeSeries_Metadata) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_msgTypes[1] |
| 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 TensorboardTimeSeries_Metadata.ProtoReflect.Descriptor instead. |
| func (*TensorboardTimeSeries_Metadata) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_rawDescGZIP(), []int{0, 0} |
| } |
| |
| func (x *TensorboardTimeSeries_Metadata) GetMaxStep() int64 { |
| if x != nil { |
| return x.MaxStep |
| } |
| return 0 |
| } |
| |
| func (x *TensorboardTimeSeries_Metadata) GetMaxWallTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.MaxWallTime |
| } |
| return nil |
| } |
| |
| func (x *TensorboardTimeSeries_Metadata) GetMaxBlobSequenceLength() int64 { |
| if x != nil { |
| return x.MaxBlobSequenceLength |
| } |
| return 0 |
| } |
| |
| var File_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_rawDescOnce sync.Once |
| file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_rawDescData = file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_rawDesc |
| ) |
| |
| func file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_rawDescGZIP() []byte { |
| file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_rawDescOnce.Do(func() { |
| file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_rawDescData) |
| }) |
| return file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_rawDescData |
| } |
| |
| var file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_enumTypes = make([]protoimpl.EnumInfo, 1) |
| var file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_msgTypes = make([]protoimpl.MessageInfo, 2) |
| var file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_goTypes = []interface{}{ |
| (TensorboardTimeSeries_ValueType)(0), // 0: google.cloud.aiplatform.v1beta1.TensorboardTimeSeries.ValueType |
| (*TensorboardTimeSeries)(nil), // 1: google.cloud.aiplatform.v1beta1.TensorboardTimeSeries |
| (*TensorboardTimeSeries_Metadata)(nil), // 2: google.cloud.aiplatform.v1beta1.TensorboardTimeSeries.Metadata |
| (*timestamppb.Timestamp)(nil), // 3: google.protobuf.Timestamp |
| } |
| var file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_depIdxs = []int32{ |
| 0, // 0: google.cloud.aiplatform.v1beta1.TensorboardTimeSeries.value_type:type_name -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries.ValueType |
| 3, // 1: google.cloud.aiplatform.v1beta1.TensorboardTimeSeries.create_time:type_name -> google.protobuf.Timestamp |
| 3, // 2: google.cloud.aiplatform.v1beta1.TensorboardTimeSeries.update_time:type_name -> google.protobuf.Timestamp |
| 2, // 3: google.cloud.aiplatform.v1beta1.TensorboardTimeSeries.metadata:type_name -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries.Metadata |
| 3, // 4: google.cloud.aiplatform.v1beta1.TensorboardTimeSeries.Metadata.max_wall_time:type_name -> google.protobuf.Timestamp |
| 5, // [5:5] is the sub-list for method output_type |
| 5, // [5:5] is the sub-list for method input_type |
| 5, // [5:5] is the sub-list for extension type_name |
| 5, // [5:5] is the sub-list for extension extendee |
| 0, // [0:5] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_init() } |
| func file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_init() { |
| if File_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto != nil { |
| return |
| } |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TensorboardTimeSeries); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TensorboardTimeSeries_Metadata); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_rawDesc, |
| NumEnums: 1, |
| NumMessages: 2, |
| NumExtensions: 0, |
| NumServices: 0, |
| }, |
| GoTypes: file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_goTypes, |
| DependencyIndexes: file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_depIdxs, |
| EnumInfos: file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_enumTypes, |
| MessageInfos: file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_msgTypes, |
| }.Build() |
| File_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto = out.File |
| file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_rawDesc = nil |
| file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_goTypes = nil |
| file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_depIdxs = nil |
| } |