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// 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
}