| // 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/v1/tensorboard_data.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) |
| ) |
| |
| // All the data stored in a TensorboardTimeSeries. |
| type TimeSeriesData struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The ID of the TensorboardTimeSeries, which will become the final |
| // component of the TensorboardTimeSeries' resource name |
| TensorboardTimeSeriesId string `protobuf:"bytes,1,opt,name=tensorboard_time_series_id,json=tensorboardTimeSeriesId,proto3" json:"tensorboard_time_series_id,omitempty"` |
| // Required. Immutable. The value type of this time series. All the values in |
| // this time series data must match this value type. |
| ValueType TensorboardTimeSeries_ValueType `protobuf:"varint,2,opt,name=value_type,json=valueType,proto3,enum=google.cloud.aiplatform.v1.TensorboardTimeSeries_ValueType" json:"value_type,omitempty"` |
| // Required. Data points in this time series. |
| Values []*TimeSeriesDataPoint `protobuf:"bytes,3,rep,name=values,proto3" json:"values,omitempty"` |
| } |
| |
| func (x *TimeSeriesData) Reset() { |
| *x = TimeSeriesData{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TimeSeriesData) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TimeSeriesData) ProtoMessage() {} |
| |
| func (x *TimeSeriesData) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tensorboard_data_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 TimeSeriesData.ProtoReflect.Descriptor instead. |
| func (*TimeSeriesData) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tensorboard_data_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (x *TimeSeriesData) GetTensorboardTimeSeriesId() string { |
| if x != nil { |
| return x.TensorboardTimeSeriesId |
| } |
| return "" |
| } |
| |
| func (x *TimeSeriesData) GetValueType() TensorboardTimeSeries_ValueType { |
| if x != nil { |
| return x.ValueType |
| } |
| return TensorboardTimeSeries_VALUE_TYPE_UNSPECIFIED |
| } |
| |
| func (x *TimeSeriesData) GetValues() []*TimeSeriesDataPoint { |
| if x != nil { |
| return x.Values |
| } |
| return nil |
| } |
| |
| // A TensorboardTimeSeries data point. |
| type TimeSeriesDataPoint struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Value of this time series data point. |
| // |
| // Types that are assignable to Value: |
| // |
| // *TimeSeriesDataPoint_Scalar |
| // *TimeSeriesDataPoint_Tensor |
| // *TimeSeriesDataPoint_Blobs |
| Value isTimeSeriesDataPoint_Value `protobuf_oneof:"value"` |
| // Wall clock timestamp when this data point is generated by the end user. |
| WallTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=wall_time,json=wallTime,proto3" json:"wall_time,omitempty"` |
| // Step index of this data point within the run. |
| Step int64 `protobuf:"varint,2,opt,name=step,proto3" json:"step,omitempty"` |
| } |
| |
| func (x *TimeSeriesDataPoint) Reset() { |
| *x = TimeSeriesDataPoint{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TimeSeriesDataPoint) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TimeSeriesDataPoint) ProtoMessage() {} |
| |
| func (x *TimeSeriesDataPoint) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tensorboard_data_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 TimeSeriesDataPoint.ProtoReflect.Descriptor instead. |
| func (*TimeSeriesDataPoint) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tensorboard_data_proto_rawDescGZIP(), []int{1} |
| } |
| |
| func (m *TimeSeriesDataPoint) GetValue() isTimeSeriesDataPoint_Value { |
| if m != nil { |
| return m.Value |
| } |
| return nil |
| } |
| |
| func (x *TimeSeriesDataPoint) GetScalar() *Scalar { |
| if x, ok := x.GetValue().(*TimeSeriesDataPoint_Scalar); ok { |
| return x.Scalar |
| } |
| return nil |
| } |
| |
| func (x *TimeSeriesDataPoint) GetTensor() *TensorboardTensor { |
| if x, ok := x.GetValue().(*TimeSeriesDataPoint_Tensor); ok { |
| return x.Tensor |
| } |
| return nil |
| } |
| |
| func (x *TimeSeriesDataPoint) GetBlobs() *TensorboardBlobSequence { |
| if x, ok := x.GetValue().(*TimeSeriesDataPoint_Blobs); ok { |
| return x.Blobs |
| } |
| return nil |
| } |
| |
| func (x *TimeSeriesDataPoint) GetWallTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.WallTime |
| } |
| return nil |
| } |
| |
| func (x *TimeSeriesDataPoint) GetStep() int64 { |
| if x != nil { |
| return x.Step |
| } |
| return 0 |
| } |
| |
| type isTimeSeriesDataPoint_Value interface { |
| isTimeSeriesDataPoint_Value() |
| } |
| |
| type TimeSeriesDataPoint_Scalar struct { |
| // A scalar value. |
| Scalar *Scalar `protobuf:"bytes,3,opt,name=scalar,proto3,oneof"` |
| } |
| |
| type TimeSeriesDataPoint_Tensor struct { |
| // A tensor value. |
| Tensor *TensorboardTensor `protobuf:"bytes,4,opt,name=tensor,proto3,oneof"` |
| } |
| |
| type TimeSeriesDataPoint_Blobs struct { |
| // A blob sequence value. |
| Blobs *TensorboardBlobSequence `protobuf:"bytes,5,opt,name=blobs,proto3,oneof"` |
| } |
| |
| func (*TimeSeriesDataPoint_Scalar) isTimeSeriesDataPoint_Value() {} |
| |
| func (*TimeSeriesDataPoint_Tensor) isTimeSeriesDataPoint_Value() {} |
| |
| func (*TimeSeriesDataPoint_Blobs) isTimeSeriesDataPoint_Value() {} |
| |
| // One point viewable on a scalar metric plot. |
| type Scalar struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Value of the point at this step / timestamp. |
| Value float64 `protobuf:"fixed64,1,opt,name=value,proto3" json:"value,omitempty"` |
| } |
| |
| func (x *Scalar) Reset() { |
| *x = Scalar{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes[2] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *Scalar) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*Scalar) ProtoMessage() {} |
| |
| func (x *Scalar) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes[2] |
| 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 Scalar.ProtoReflect.Descriptor instead. |
| func (*Scalar) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tensorboard_data_proto_rawDescGZIP(), []int{2} |
| } |
| |
| func (x *Scalar) GetValue() float64 { |
| if x != nil { |
| return x.Value |
| } |
| return 0 |
| } |
| |
| // One point viewable on a tensor metric plot. |
| type TensorboardTensor struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. Serialized form of |
| // https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/framework/tensor.proto |
| Value []byte `protobuf:"bytes,1,opt,name=value,proto3" json:"value,omitempty"` |
| // Optional. Version number of TensorProto used to serialize |
| // [value][google.cloud.aiplatform.v1.TensorboardTensor.value]. |
| VersionNumber int32 `protobuf:"varint,2,opt,name=version_number,json=versionNumber,proto3" json:"version_number,omitempty"` |
| } |
| |
| func (x *TensorboardTensor) Reset() { |
| *x = TensorboardTensor{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes[3] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TensorboardTensor) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TensorboardTensor) ProtoMessage() {} |
| |
| func (x *TensorboardTensor) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes[3] |
| 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 TensorboardTensor.ProtoReflect.Descriptor instead. |
| func (*TensorboardTensor) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tensorboard_data_proto_rawDescGZIP(), []int{3} |
| } |
| |
| func (x *TensorboardTensor) GetValue() []byte { |
| if x != nil { |
| return x.Value |
| } |
| return nil |
| } |
| |
| func (x *TensorboardTensor) GetVersionNumber() int32 { |
| if x != nil { |
| return x.VersionNumber |
| } |
| return 0 |
| } |
| |
| // One point viewable on a blob metric plot, but mostly just a wrapper message |
| // to work around repeated fields can't be used directly within `oneof` fields. |
| type TensorboardBlobSequence struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // List of blobs contained within the sequence. |
| Values []*TensorboardBlob `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"` |
| } |
| |
| func (x *TensorboardBlobSequence) Reset() { |
| *x = TensorboardBlobSequence{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes[4] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TensorboardBlobSequence) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TensorboardBlobSequence) ProtoMessage() {} |
| |
| func (x *TensorboardBlobSequence) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes[4] |
| 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 TensorboardBlobSequence.ProtoReflect.Descriptor instead. |
| func (*TensorboardBlobSequence) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tensorboard_data_proto_rawDescGZIP(), []int{4} |
| } |
| |
| func (x *TensorboardBlobSequence) GetValues() []*TensorboardBlob { |
| if x != nil { |
| return x.Values |
| } |
| return nil |
| } |
| |
| // One blob (e.g, image, graph) viewable on a blob metric plot. |
| type TensorboardBlob struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Output only. A URI safe key uniquely identifying a blob. Can be used to |
| // locate the blob stored in the Cloud Storage bucket of the consumer project. |
| Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"` |
| // Optional. The bytes of the blob is not present unless it's returned by the |
| // ReadTensorboardBlobData endpoint. |
| Data []byte `protobuf:"bytes,2,opt,name=data,proto3" json:"data,omitempty"` |
| } |
| |
| func (x *TensorboardBlob) Reset() { |
| *x = TensorboardBlob{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes[5] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TensorboardBlob) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TensorboardBlob) ProtoMessage() {} |
| |
| func (x *TensorboardBlob) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes[5] |
| 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 TensorboardBlob.ProtoReflect.Descriptor instead. |
| func (*TensorboardBlob) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_tensorboard_data_proto_rawDescGZIP(), []int{5} |
| } |
| |
| func (x *TensorboardBlob) GetId() string { |
| if x != nil { |
| return x.Id |
| } |
| return "" |
| } |
| |
| func (x *TensorboardBlob) GetData() []byte { |
| if x != nil { |
| return x.Data |
| } |
| return nil |
| } |
| |
| var File_google_cloud_aiplatform_v1_tensorboard_data_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_aiplatform_v1_tensorboard_data_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_aiplatform_v1_tensorboard_data_proto_rawDescOnce sync.Once |
| file_google_cloud_aiplatform_v1_tensorboard_data_proto_rawDescData = file_google_cloud_aiplatform_v1_tensorboard_data_proto_rawDesc |
| ) |
| |
| func file_google_cloud_aiplatform_v1_tensorboard_data_proto_rawDescGZIP() []byte { |
| file_google_cloud_aiplatform_v1_tensorboard_data_proto_rawDescOnce.Do(func() { |
| file_google_cloud_aiplatform_v1_tensorboard_data_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_tensorboard_data_proto_rawDescData) |
| }) |
| return file_google_cloud_aiplatform_v1_tensorboard_data_proto_rawDescData |
| } |
| |
| var file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes = make([]protoimpl.MessageInfo, 6) |
| var file_google_cloud_aiplatform_v1_tensorboard_data_proto_goTypes = []interface{}{ |
| (*TimeSeriesData)(nil), // 0: google.cloud.aiplatform.v1.TimeSeriesData |
| (*TimeSeriesDataPoint)(nil), // 1: google.cloud.aiplatform.v1.TimeSeriesDataPoint |
| (*Scalar)(nil), // 2: google.cloud.aiplatform.v1.Scalar |
| (*TensorboardTensor)(nil), // 3: google.cloud.aiplatform.v1.TensorboardTensor |
| (*TensorboardBlobSequence)(nil), // 4: google.cloud.aiplatform.v1.TensorboardBlobSequence |
| (*TensorboardBlob)(nil), // 5: google.cloud.aiplatform.v1.TensorboardBlob |
| (TensorboardTimeSeries_ValueType)(0), // 6: google.cloud.aiplatform.v1.TensorboardTimeSeries.ValueType |
| (*timestamppb.Timestamp)(nil), // 7: google.protobuf.Timestamp |
| } |
| var file_google_cloud_aiplatform_v1_tensorboard_data_proto_depIdxs = []int32{ |
| 6, // 0: google.cloud.aiplatform.v1.TimeSeriesData.value_type:type_name -> google.cloud.aiplatform.v1.TensorboardTimeSeries.ValueType |
| 1, // 1: google.cloud.aiplatform.v1.TimeSeriesData.values:type_name -> google.cloud.aiplatform.v1.TimeSeriesDataPoint |
| 2, // 2: google.cloud.aiplatform.v1.TimeSeriesDataPoint.scalar:type_name -> google.cloud.aiplatform.v1.Scalar |
| 3, // 3: google.cloud.aiplatform.v1.TimeSeriesDataPoint.tensor:type_name -> google.cloud.aiplatform.v1.TensorboardTensor |
| 4, // 4: google.cloud.aiplatform.v1.TimeSeriesDataPoint.blobs:type_name -> google.cloud.aiplatform.v1.TensorboardBlobSequence |
| 7, // 5: google.cloud.aiplatform.v1.TimeSeriesDataPoint.wall_time:type_name -> google.protobuf.Timestamp |
| 5, // 6: google.cloud.aiplatform.v1.TensorboardBlobSequence.values:type_name -> google.cloud.aiplatform.v1.TensorboardBlob |
| 7, // [7:7] is the sub-list for method output_type |
| 7, // [7:7] is the sub-list for method input_type |
| 7, // [7:7] is the sub-list for extension type_name |
| 7, // [7:7] is the sub-list for extension extendee |
| 0, // [0:7] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_aiplatform_v1_tensorboard_data_proto_init() } |
| func file_google_cloud_aiplatform_v1_tensorboard_data_proto_init() { |
| if File_google_cloud_aiplatform_v1_tensorboard_data_proto != nil { |
| return |
| } |
| file_google_cloud_aiplatform_v1_tensorboard_time_series_proto_init() |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TimeSeriesData); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TimeSeriesDataPoint); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*Scalar); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TensorboardTensor); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TensorboardBlobSequence); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TensorboardBlob); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes[1].OneofWrappers = []interface{}{ |
| (*TimeSeriesDataPoint_Scalar)(nil), |
| (*TimeSeriesDataPoint_Tensor)(nil), |
| (*TimeSeriesDataPoint_Blobs)(nil), |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_aiplatform_v1_tensorboard_data_proto_rawDesc, |
| NumEnums: 0, |
| NumMessages: 6, |
| NumExtensions: 0, |
| NumServices: 0, |
| }, |
| GoTypes: file_google_cloud_aiplatform_v1_tensorboard_data_proto_goTypes, |
| DependencyIndexes: file_google_cloud_aiplatform_v1_tensorboard_data_proto_depIdxs, |
| MessageInfos: file_google_cloud_aiplatform_v1_tensorboard_data_proto_msgTypes, |
| }.Build() |
| File_google_cloud_aiplatform_v1_tensorboard_data_proto = out.File |
| file_google_cloud_aiplatform_v1_tensorboard_data_proto_rawDesc = nil |
| file_google_cloud_aiplatform_v1_tensorboard_data_proto_goTypes = nil |
| file_google_cloud_aiplatform_v1_tensorboard_data_proto_depIdxs = nil |
| } |
