// Copyright 2025 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 v1.36.11
// 	protoc        v6.33.2
// source: google/cloud/aiplatform/v1/tensorboard_run.proto

package aiplatformpb

import (
	reflect "reflect"
	sync "sync"
	unsafe "unsafe"

	_ "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)
)

// TensorboardRun maps to a specific execution of a training job with a given
// set of hyperparameter values, model definition, dataset, etc
type TensorboardRun struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Output only. Name of the TensorboardRun.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. User provided name of this TensorboardRun.
	// This value must be unique among all TensorboardRuns
	// belonging to the same parent TensorboardExperiment.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Description of this TensorboardRun.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. Timestamp when this TensorboardRun was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this TensorboardRun was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// The labels with user-defined metadata to organize your TensorboardRuns.
	//
	// This field will be used to filter and visualize Runs in the Tensorboard UI.
	// For example, a Vertex AI training job can set a label
	// aiplatform.googleapis.com/training_job_id=xxxxx to all the runs created
	// within that job. An end user can set a label experiment_id=xxxxx for all
	// the runs produced in a Jupyter notebook. These runs can be grouped by a
	// label value and visualized together in the Tensorboard UI.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one TensorboardRun
	// (System labels are excluded).
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	Labels map[string]string `protobuf:"bytes,8,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key" protobuf_val:"bytes,2,opt,name=value"`
	// Used to perform a consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag          string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *TensorboardRun) Reset() {
	*x = TensorboardRun{}
	mi := &file_google_cloud_aiplatform_v1_tensorboard_run_proto_msgTypes[0]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *TensorboardRun) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*TensorboardRun) ProtoMessage() {}

func (x *TensorboardRun) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_tensorboard_run_proto_msgTypes[0]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use TensorboardRun.ProtoReflect.Descriptor instead.
func (*TensorboardRun) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_tensorboard_run_proto_rawDescGZIP(), []int{0}
}

func (x *TensorboardRun) GetName() string {
	if x != nil {
		return x.Name
	}
	return ""
}

func (x *TensorboardRun) GetDisplayName() string {
	if x != nil {
		return x.DisplayName
	}
	return ""
}

func (x *TensorboardRun) GetDescription() string {
	if x != nil {
		return x.Description
	}
	return ""
}

func (x *TensorboardRun) GetCreateTime() *timestamppb.Timestamp {
	if x != nil {
		return x.CreateTime
	}
	return nil
}

func (x *TensorboardRun) GetUpdateTime() *timestamppb.Timestamp {
	if x != nil {
		return x.UpdateTime
	}
	return nil
}

func (x *TensorboardRun) GetLabels() map[string]string {
	if x != nil {
		return x.Labels
	}
	return nil
}

func (x *TensorboardRun) GetEtag() string {
	if x != nil {
		return x.Etag
	}
	return ""
}

var File_google_cloud_aiplatform_v1_tensorboard_run_proto protoreflect.FileDescriptor

const file_google_cloud_aiplatform_v1_tensorboard_run_proto_rawDesc = "" +
	"\n" +
	"0google/cloud/aiplatform/v1/tensorboard_run.proto\x12\x1agoogle.cloud.aiplatform.v1\x1a\x1fgoogle/api/field_behavior.proto\x1a\x19google/api/resource.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\xaf\x04\n" +
	"\x0eTensorboardRun\x12\x17\n" +
	"\x04name\x18\x01 \x01(\tB\x03\xe0A\x03R\x04name\x12&\n" +
	"\fdisplay_name\x18\x02 \x01(\tB\x03\xe0A\x02R\vdisplayName\x12 \n" +
	"\vdescription\x18\x03 \x01(\tR\vdescription\x12@\n" +
	"\vcreate_time\x18\x06 \x01(\v2\x1a.google.protobuf.TimestampB\x03\xe0A\x03R\n" +
	"createTime\x12@\n" +
	"\vupdate_time\x18\a \x01(\v2\x1a.google.protobuf.TimestampB\x03\xe0A\x03R\n" +
	"updateTime\x12N\n" +
	"\x06labels\x18\b \x03(\v26.google.cloud.aiplatform.v1.TensorboardRun.LabelsEntryR\x06labels\x12\x12\n" +
	"\x04etag\x18\t \x01(\tR\x04etag\x1a9\n" +
	"\vLabelsEntry\x12\x10\n" +
	"\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n" +
	"\x05value\x18\x02 \x01(\tR\x05value:\x028\x01:\x96\x01\xeaA\x92\x01\n" +
	"(aiplatform.googleapis.com/TensorboardRun\x12fprojects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}B\xd1\x01\n" +
	"\x1ecom.google.cloud.aiplatform.v1B\x13TensorboardRunProtoP\x01Z>cloud.google.com/go/aiplatform/apiv1/aiplatformpb;aiplatformpb\xaa\x02\x1aGoogle.Cloud.AIPlatform.V1\xca\x02\x1aGoogle\\Cloud\\AIPlatform\\V1\xea\x02\x1dGoogle::Cloud::AIPlatform::V1b\x06proto3"

var (
	file_google_cloud_aiplatform_v1_tensorboard_run_proto_rawDescOnce sync.Once
	file_google_cloud_aiplatform_v1_tensorboard_run_proto_rawDescData []byte
)

func file_google_cloud_aiplatform_v1_tensorboard_run_proto_rawDescGZIP() []byte {
	file_google_cloud_aiplatform_v1_tensorboard_run_proto_rawDescOnce.Do(func() {
		file_google_cloud_aiplatform_v1_tensorboard_run_proto_rawDescData = protoimpl.X.CompressGZIP(unsafe.Slice(unsafe.StringData(file_google_cloud_aiplatform_v1_tensorboard_run_proto_rawDesc), len(file_google_cloud_aiplatform_v1_tensorboard_run_proto_rawDesc)))
	})
	return file_google_cloud_aiplatform_v1_tensorboard_run_proto_rawDescData
}

var file_google_cloud_aiplatform_v1_tensorboard_run_proto_msgTypes = make([]protoimpl.MessageInfo, 2)
var file_google_cloud_aiplatform_v1_tensorboard_run_proto_goTypes = []any{
	(*TensorboardRun)(nil),        // 0: google.cloud.aiplatform.v1.TensorboardRun
	nil,                           // 1: google.cloud.aiplatform.v1.TensorboardRun.LabelsEntry
	(*timestamppb.Timestamp)(nil), // 2: google.protobuf.Timestamp
}
var file_google_cloud_aiplatform_v1_tensorboard_run_proto_depIdxs = []int32{
	2, // 0: google.cloud.aiplatform.v1.TensorboardRun.create_time:type_name -> google.protobuf.Timestamp
	2, // 1: google.cloud.aiplatform.v1.TensorboardRun.update_time:type_name -> google.protobuf.Timestamp
	1, // 2: google.cloud.aiplatform.v1.TensorboardRun.labels:type_name -> google.cloud.aiplatform.v1.TensorboardRun.LabelsEntry
	3, // [3:3] is the sub-list for method output_type
	3, // [3:3] is the sub-list for method input_type
	3, // [3:3] is the sub-list for extension type_name
	3, // [3:3] is the sub-list for extension extendee
	0, // [0:3] is the sub-list for field type_name
}

func init() { file_google_cloud_aiplatform_v1_tensorboard_run_proto_init() }
func file_google_cloud_aiplatform_v1_tensorboard_run_proto_init() {
	if File_google_cloud_aiplatform_v1_tensorboard_run_proto != nil {
		return
	}
	type x struct{}
	out := protoimpl.TypeBuilder{
		File: protoimpl.DescBuilder{
			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
			RawDescriptor: unsafe.Slice(unsafe.StringData(file_google_cloud_aiplatform_v1_tensorboard_run_proto_rawDesc), len(file_google_cloud_aiplatform_v1_tensorboard_run_proto_rawDesc)),
			NumEnums:      0,
			NumMessages:   2,
			NumExtensions: 0,
			NumServices:   0,
		},
		GoTypes:           file_google_cloud_aiplatform_v1_tensorboard_run_proto_goTypes,
		DependencyIndexes: file_google_cloud_aiplatform_v1_tensorboard_run_proto_depIdxs,
		MessageInfos:      file_google_cloud_aiplatform_v1_tensorboard_run_proto_msgTypes,
	}.Build()
	File_google_cloud_aiplatform_v1_tensorboard_run_proto = out.File
	file_google_cloud_aiplatform_v1_tensorboard_run_proto_goTypes = nil
	file_google_cloud_aiplatform_v1_tensorboard_run_proto_depIdxs = nil
}
