cloud.google.com/go/aiplatform@v1.106.0/apiv1beta1/aiplatformpb/custom_job.pb.go

// 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 v1.35.2
// 	protoc        v4.25.7
// source: google/cloud/aiplatform/v1beta1/custom_job.proto

package aiplatformpb

import (
	_ "google.golang.org/genproto/googleapis/api/annotations"
	status "google.golang.org/genproto/googleapis/rpc/status"
	protoreflect "google.golang.org/protobuf/reflect/protoreflect"
	protoimpl "google.golang.org/protobuf/runtime/protoimpl"
	durationpb "google.golang.org/protobuf/types/known/durationpb"
	timestamppb "google.golang.org/protobuf/types/known/timestamppb"
	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)
)

// Optional. This determines which type of scheduling strategy to use. Right
// now users have two options such as STANDARD which will use regular on
// demand resources to schedule the job, the other is SPOT which would
// leverage spot resources alongwith regular resources to schedule
// the job.
type Scheduling_Strategy int32

const (
	// Strategy will default to STANDARD.
	Scheduling_STRATEGY_UNSPECIFIED Scheduling_Strategy = 0
	// Deprecated. Regular on-demand provisioning strategy.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1beta1/custom_job.proto.
	Scheduling_ON_DEMAND Scheduling_Strategy = 1
	// Deprecated. Low cost by making potential use of spot resources.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1beta1/custom_job.proto.
	Scheduling_LOW_COST Scheduling_Strategy = 2
	// Standard provisioning strategy uses regular on-demand resources.
	Scheduling_STANDARD Scheduling_Strategy = 3
	// Spot provisioning strategy uses spot resources.
	Scheduling_SPOT Scheduling_Strategy = 4
	// Flex Start strategy uses DWS to queue for resources.
	Scheduling_FLEX_START Scheduling_Strategy = 6
)

// Enum value maps for Scheduling_Strategy.
var (
	Scheduling_Strategy_name = map[int32]string{
		0: "STRATEGY_UNSPECIFIED",
		1: "ON_DEMAND",
		2: "LOW_COST",
		3: "STANDARD",
		4: "SPOT",
		6: "FLEX_START",
	}
	Scheduling_Strategy_value = map[string]int32{
		"STRATEGY_UNSPECIFIED": 0,
		"ON_DEMAND":            1,
		"LOW_COST":             2,
		"STANDARD":             3,
		"SPOT":                 4,
		"FLEX_START":           6,
	}
)

func (x Scheduling_Strategy) Enum() *Scheduling_Strategy {
	p := new(Scheduling_Strategy)
	*p = x
	return p
}

func (x Scheduling_Strategy) String() string {
	return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}

func (Scheduling_Strategy) Descriptor() protoreflect.EnumDescriptor {
	return file_google_cloud_aiplatform_v1beta1_custom_job_proto_enumTypes[0].Descriptor()
}

func (Scheduling_Strategy) Type() protoreflect.EnumType {
	return &file_google_cloud_aiplatform_v1beta1_custom_job_proto_enumTypes[0]
}

func (x Scheduling_Strategy) Number() protoreflect.EnumNumber {
	return protoreflect.EnumNumber(x)
}

// Deprecated: Use Scheduling_Strategy.Descriptor instead.
func (Scheduling_Strategy) EnumDescriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDescGZIP(), []int{5, 0}
}

// Represents a job that runs custom workloads such as a Docker container or a
// Python package. A CustomJob can have multiple worker pools and each worker
// pool can have its own machine and input spec. A CustomJob will be cleaned up
// once the job enters terminal state (failed or succeeded).
type CustomJob struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Output only. Resource name of a CustomJob.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The display name of the CustomJob.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required. Job spec.
	JobSpec *CustomJobSpec `protobuf:"bytes,4,opt,name=job_spec,json=jobSpec,proto3" json:"job_spec,omitempty"`
	// Output only. The detailed state of the job.
	State JobState `protobuf:"varint,5,opt,name=state,proto3,enum=google.cloud.aiplatform.v1beta1.JobState" json:"state,omitempty"`
	// Output only. Time when the CustomJob was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Time when the CustomJob for the first time entered the
	// `JOB_STATE_RUNNING` state.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Time when the CustomJob entered any of the following states:
	// `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. Time when the CustomJob was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. Only populated when job's state is `JOB_STATE_FAILED` or
	// `JOB_STATE_CANCELLED`.
	Error *status.Status `protobuf:"bytes,10,opt,name=error,proto3" json:"error,omitempty"`
	// The labels with user-defined metadata to organize CustomJobs.
	//
	// 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.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `protobuf:"bytes,11,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Customer-managed encryption key options for a CustomJob. If this is set,
	// then all resources created by the CustomJob will be encrypted with the
	// provided encryption key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,12,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Output only. URIs for accessing [interactive
	// shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
	// (one URI for each training node). Only available if
	// [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
	// is `true`.
	//
	// The keys are names of each node in the training job; for example,
	// `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
	// the second worker pool, and `workerpool1-1` for the second node in the
	// second worker pool.
	//
	// The values are the URIs for each node's interactive shell.
	WebAccessUris map[string]string `protobuf:"bytes,16,rep,name=web_access_uris,json=webAccessUris,proto3" json:"web_access_uris,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Output only. Reserved for future use.
	SatisfiesPzs bool `protobuf:"varint,18,opt,name=satisfies_pzs,json=satisfiesPzs,proto3" json:"satisfies_pzs,omitempty"`
	// Output only. Reserved for future use.
	SatisfiesPzi bool `protobuf:"varint,19,opt,name=satisfies_pzi,json=satisfiesPzi,proto3" json:"satisfies_pzi,omitempty"`
}

func (x *CustomJob) Reset() {
	*x = CustomJob{}
	mi := &file_google_cloud_aiplatform_v1beta1_custom_job_proto_msgTypes[0]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*CustomJob) ProtoMessage() {}

func (x *CustomJob) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_custom_job_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 CustomJob.ProtoReflect.Descriptor instead.
func (*CustomJob) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDescGZIP(), []int{0}
}

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

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

func (x *CustomJob) GetJobSpec() *CustomJobSpec {
	if x != nil {
		return x.JobSpec
	}
	return nil
}

func (x *CustomJob) GetState() JobState {
	if x != nil {
		return x.State
	}
	return JobState_JOB_STATE_UNSPECIFIED
}

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

func (x *CustomJob) GetStartTime() *timestamppb.Timestamp {
	if x != nil {
		return x.StartTime
	}
	return nil
}

func (x *CustomJob) GetEndTime() *timestamppb.Timestamp {
	if x != nil {
		return x.EndTime
	}
	return nil
}

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

func (x *CustomJob) GetError() *status.Status {
	if x != nil {
		return x.Error
	}
	return nil
}

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

func (x *CustomJob) GetEncryptionSpec() *EncryptionSpec {
	if x != nil {
		return x.EncryptionSpec
	}
	return nil
}

func (x *CustomJob) GetWebAccessUris() map[string]string {
	if x != nil {
		return x.WebAccessUris
	}
	return nil
}

func (x *CustomJob) GetSatisfiesPzs() bool {
	if x != nil {
		return x.SatisfiesPzs
	}
	return false
}

func (x *CustomJob) GetSatisfiesPzi() bool {
	if x != nil {
		return x.SatisfiesPzi
	}
	return false
}

// Represents the spec of a CustomJob.
type CustomJobSpec struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Optional. The ID of the PersistentResource in the same Project and Location
	// which to run
	//
	// If this is specified, the job will be run on existing machines held by the
	// PersistentResource instead of on-demand short-live machines.
	// The network and CMEK configs on the job should be consistent with those on
	// the PersistentResource, otherwise, the job will be rejected.
	PersistentResourceId string `protobuf:"bytes,14,opt,name=persistent_resource_id,json=persistentResourceId,proto3" json:"persistent_resource_id,omitempty"`
	// Required. The spec of the worker pools including machine type and Docker
	// image. All worker pools except the first one are optional and can be
	// skipped by providing an empty value.
	WorkerPoolSpecs []*WorkerPoolSpec `protobuf:"bytes,1,rep,name=worker_pool_specs,json=workerPoolSpecs,proto3" json:"worker_pool_specs,omitempty"`
	// Scheduling options for a CustomJob.
	Scheduling *Scheduling `protobuf:"bytes,3,opt,name=scheduling,proto3" json:"scheduling,omitempty"`
	// Specifies the service account for workload run-as account.
	// Users submitting jobs must have act-as permission on this run-as account.
	// If unspecified, the [Vertex AI Custom Code Service
	// Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
	// for the CustomJob's project is used.
	ServiceAccount string `protobuf:"bytes,4,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
	// Optional. The full name of the Compute Engine
	// [network](/compute/docs/networks-and-firewalls#networks) to which the Job
	// should be peered. For example, `projects/12345/global/networks/myVPC`.
	// [Format](/compute/docs/reference/rest/v1/networks/insert)
	// is of the form `projects/{project}/global/networks/{network}`.
	// Where {project} is a project number, as in `12345`, and {network} is a
	// network name.
	//
	// To specify this field, you must have already [configured VPC Network
	// Peering for Vertex
	// AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering).
	//
	// If this field is left unspecified, the job is not peered with any network.
	Network string `protobuf:"bytes,5,opt,name=network,proto3" json:"network,omitempty"`
	// Optional. A list of names for the reserved ip ranges under the VPC network
	// that can be used for this job.
	//
	// If set, we will deploy the job within the provided ip ranges. Otherwise,
	// the job will be deployed to any ip ranges under the provided VPC
	// network.
	//
	// Example: ['vertex-ai-ip-range'].
	ReservedIpRanges []string `protobuf:"bytes,13,rep,name=reserved_ip_ranges,json=reservedIpRanges,proto3" json:"reserved_ip_ranges,omitempty"`
	// Optional. Configuration for PSC-I for CustomJob.
	PscInterfaceConfig *PscInterfaceConfig `protobuf:"bytes,21,opt,name=psc_interface_config,json=pscInterfaceConfig,proto3" json:"psc_interface_config,omitempty"`
	// The Cloud Storage location to store the output of this CustomJob or
	// HyperparameterTuningJob. For HyperparameterTuningJob,
	// the baseOutputDirectory of
	// each child CustomJob backing a Trial is set to a subdirectory of name
	// [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
	// HyperparameterTuningJob's baseOutputDirectory.
	//
	// The following Vertex AI environment variables will be passed to
	// containers or python modules when this field is set:
	//
	//	For CustomJob:
	//
	//	* AIP_MODEL_DIR = `<base_output_directory>/model/`
	//	* AIP_CHECKPOINT_DIR = `<base_output_directory>/checkpoints/`
	//	* AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/logs/`
	//
	//	For CustomJob backing a Trial of HyperparameterTuningJob:
	//
	//	* AIP_MODEL_DIR = `<base_output_directory>/<trial_id>/model/`
	//	* AIP_CHECKPOINT_DIR = `<base_output_directory>/<trial_id>/checkpoints/`
	//	* AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/<trial_id>/logs/`
	BaseOutputDirectory *GcsDestination `protobuf:"bytes,6,opt,name=base_output_directory,json=baseOutputDirectory,proto3" json:"base_output_directory,omitempty"`
	// The ID of the location to store protected artifacts. e.g. us-central1.
	// Populate only when the location is different than CustomJob location.
	// List of supported locations:
	// https://cloud.google.com/vertex-ai/docs/general/locations
	ProtectedArtifactLocationId string `protobuf:"bytes,19,opt,name=protected_artifact_location_id,json=protectedArtifactLocationId,proto3" json:"protected_artifact_location_id,omitempty"`
	// Optional. The name of a Vertex AI
	// [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to
	// which this CustomJob will upload Tensorboard logs. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Tensorboard string `protobuf:"bytes,7,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
	// Optional. Whether you want Vertex AI to enable [interactive shell
	// access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
	// to training containers.
	//
	// If set to `true`, you can access interactive shells at the URIs given
	// by
	// [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris]
	// or
	// [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris]
	// (within
	// [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]).
	EnableWebAccess bool `protobuf:"varint,10,opt,name=enable_web_access,json=enableWebAccess,proto3" json:"enable_web_access,omitempty"`
	// Optional. Whether you want Vertex AI to enable access to the customized
	// dashboard in training chief container.
	//
	// If set to `true`, you can access the dashboard at the URIs given
	// by
	// [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris]
	// or
	// [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris]
	// (within
	// [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]).
	EnableDashboardAccess bool `protobuf:"varint,16,opt,name=enable_dashboard_access,json=enableDashboardAccess,proto3" json:"enable_dashboard_access,omitempty"`
	// Optional. The Experiment associated with this job.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}`
	Experiment string `protobuf:"bytes,17,opt,name=experiment,proto3" json:"experiment,omitempty"`
	// Optional. The Experiment Run associated with this job.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}`
	ExperimentRun string `protobuf:"bytes,18,opt,name=experiment_run,json=experimentRun,proto3" json:"experiment_run,omitempty"`
	// Optional. The name of the Model resources for which to generate a mapping
	// to artifact URIs. Applicable only to some of the Google-provided custom
	// jobs. Format: `projects/{project}/locations/{location}/models/{model}`
	//
	// In order to retrieve a specific version of the model, also provide
	// the version ID or version alias.
	//
	//	Example: `projects/{project}/locations/{location}/models/{model}@2`
	//	           or
	//	         `projects/{project}/locations/{location}/models/{model}@golden`
	//
	// If no version ID or alias is specified, the "default" version will be
	// returned. The "default" version alias is created for the first version of
	// the model, and can be moved to other versions later on. There will be
	// exactly one default version.
	Models []string `protobuf:"bytes,20,rep,name=models,proto3" json:"models,omitempty"`
}

func (x *CustomJobSpec) Reset() {
	*x = CustomJobSpec{}
	mi := &file_google_cloud_aiplatform_v1beta1_custom_job_proto_msgTypes[1]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*CustomJobSpec) ProtoMessage() {}

func (x *CustomJobSpec) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_custom_job_proto_msgTypes[1]
	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 CustomJobSpec.ProtoReflect.Descriptor instead.
func (*CustomJobSpec) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDescGZIP(), []int{1}
}

func (x *CustomJobSpec) GetPersistentResourceId() string {
	if x != nil {
		return x.PersistentResourceId
	}
	return ""
}

func (x *CustomJobSpec) GetWorkerPoolSpecs() []*WorkerPoolSpec {
	if x != nil {
		return x.WorkerPoolSpecs
	}
	return nil
}

func (x *CustomJobSpec) GetScheduling() *Scheduling {
	if x != nil {
		return x.Scheduling
	}
	return nil
}

func (x *CustomJobSpec) GetServiceAccount() string {
	if x != nil {
		return x.ServiceAccount
	}
	return ""
}

func (x *CustomJobSpec) GetNetwork() string {
	if x != nil {
		return x.Network
	}
	return ""
}

func (x *CustomJobSpec) GetReservedIpRanges() []string {
	if x != nil {
		return x.ReservedIpRanges
	}
	return nil
}

func (x *CustomJobSpec) GetPscInterfaceConfig() *PscInterfaceConfig {
	if x != nil {
		return x.PscInterfaceConfig
	}
	return nil
}

func (x *CustomJobSpec) GetBaseOutputDirectory() *GcsDestination {
	if x != nil {
		return x.BaseOutputDirectory
	}
	return nil
}

func (x *CustomJobSpec) GetProtectedArtifactLocationId() string {
	if x != nil {
		return x.ProtectedArtifactLocationId
	}
	return ""
}

func (x *CustomJobSpec) GetTensorboard() string {
	if x != nil {
		return x.Tensorboard
	}
	return ""
}

func (x *CustomJobSpec) GetEnableWebAccess() bool {
	if x != nil {
		return x.EnableWebAccess
	}
	return false
}

func (x *CustomJobSpec) GetEnableDashboardAccess() bool {
	if x != nil {
		return x.EnableDashboardAccess
	}
	return false
}

func (x *CustomJobSpec) GetExperiment() string {
	if x != nil {
		return x.Experiment
	}
	return ""
}

func (x *CustomJobSpec) GetExperimentRun() string {
	if x != nil {
		return x.ExperimentRun
	}
	return ""
}

func (x *CustomJobSpec) GetModels() []string {
	if x != nil {
		return x.Models
	}
	return nil
}

// Represents the spec of a worker pool in a job.
type WorkerPoolSpec struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The custom task to be executed in this worker pool.
	//
	// Types that are assignable to Task:
	//
	//	*WorkerPoolSpec_ContainerSpec
	//	*WorkerPoolSpec_PythonPackageSpec
	Task isWorkerPoolSpec_Task `protobuf_oneof:"task"`
	// Optional. Immutable. The specification of a single machine.
	MachineSpec *MachineSpec `protobuf:"bytes,1,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
	// Optional. The number of worker replicas to use for this worker pool.
	ReplicaCount int64 `protobuf:"varint,2,opt,name=replica_count,json=replicaCount,proto3" json:"replica_count,omitempty"`
	// Optional. List of NFS mount spec.
	NfsMounts []*NfsMount `protobuf:"bytes,4,rep,name=nfs_mounts,json=nfsMounts,proto3" json:"nfs_mounts,omitempty"`
	// Disk spec.
	DiskSpec *DiskSpec `protobuf:"bytes,5,opt,name=disk_spec,json=diskSpec,proto3" json:"disk_spec,omitempty"`
}

func (x *WorkerPoolSpec) Reset() {
	*x = WorkerPoolSpec{}
	mi := &file_google_cloud_aiplatform_v1beta1_custom_job_proto_msgTypes[2]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*WorkerPoolSpec) ProtoMessage() {}

func (x *WorkerPoolSpec) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_custom_job_proto_msgTypes[2]
	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 WorkerPoolSpec.ProtoReflect.Descriptor instead.
func (*WorkerPoolSpec) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDescGZIP(), []int{2}
}

func (m *WorkerPoolSpec) GetTask() isWorkerPoolSpec_Task {
	if m != nil {
		return m.Task
	}
	return nil
}

func (x *WorkerPoolSpec) GetContainerSpec() *ContainerSpec {
	if x, ok := x.GetTask().(*WorkerPoolSpec_ContainerSpec); ok {
		return x.ContainerSpec
	}
	return nil
}

func (x *WorkerPoolSpec) GetPythonPackageSpec() *PythonPackageSpec {
	if x, ok := x.GetTask().(*WorkerPoolSpec_PythonPackageSpec); ok {
		return x.PythonPackageSpec
	}
	return nil
}

func (x *WorkerPoolSpec) GetMachineSpec() *MachineSpec {
	if x != nil {
		return x.MachineSpec
	}
	return nil
}

func (x *WorkerPoolSpec) GetReplicaCount() int64 {
	if x != nil {
		return x.ReplicaCount
	}
	return 0
}

func (x *WorkerPoolSpec) GetNfsMounts() []*NfsMount {
	if x != nil {
		return x.NfsMounts
	}
	return nil
}

func (x *WorkerPoolSpec) GetDiskSpec() *DiskSpec {
	if x != nil {
		return x.DiskSpec
	}
	return nil
}

type isWorkerPoolSpec_Task interface {
	isWorkerPoolSpec_Task()
}

type WorkerPoolSpec_ContainerSpec struct {
	// The custom container task.
	ContainerSpec *ContainerSpec `protobuf:"bytes,6,opt,name=container_spec,json=containerSpec,proto3,oneof"`
}

type WorkerPoolSpec_PythonPackageSpec struct {
	// The Python packaged task.
	PythonPackageSpec *PythonPackageSpec `protobuf:"bytes,7,opt,name=python_package_spec,json=pythonPackageSpec,proto3,oneof"`
}

func (*WorkerPoolSpec_ContainerSpec) isWorkerPoolSpec_Task() {}

func (*WorkerPoolSpec_PythonPackageSpec) isWorkerPoolSpec_Task() {}

// The spec of a Container.
type ContainerSpec struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The URI of a container image in the Container Registry that is to
	// be run on each worker replica.
	ImageUri string `protobuf:"bytes,1,opt,name=image_uri,json=imageUri,proto3" json:"image_uri,omitempty"`
	// The command to be invoked when the container is started.
	// It overrides the entrypoint instruction in Dockerfile when provided.
	Command []string `protobuf:"bytes,2,rep,name=command,proto3" json:"command,omitempty"`
	// The arguments to be passed when starting the container.
	Args []string `protobuf:"bytes,3,rep,name=args,proto3" json:"args,omitempty"`
	// Environment variables to be passed to the container.
	// Maximum limit is 100.
	Env []*EnvVar `protobuf:"bytes,4,rep,name=env,proto3" json:"env,omitempty"`
}

func (x *ContainerSpec) Reset() {
	*x = ContainerSpec{}
	mi := &file_google_cloud_aiplatform_v1beta1_custom_job_proto_msgTypes[3]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*ContainerSpec) ProtoMessage() {}

func (x *ContainerSpec) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_custom_job_proto_msgTypes[3]
	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 ContainerSpec.ProtoReflect.Descriptor instead.
func (*ContainerSpec) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDescGZIP(), []int{3}
}

func (x *ContainerSpec) GetImageUri() string {
	if x != nil {
		return x.ImageUri
	}
	return ""
}

func (x *ContainerSpec) GetCommand() []string {
	if x != nil {
		return x.Command
	}
	return nil
}

func (x *ContainerSpec) GetArgs() []string {
	if x != nil {
		return x.Args
	}
	return nil
}

func (x *ContainerSpec) GetEnv() []*EnvVar {
	if x != nil {
		return x.Env
	}
	return nil
}

// The spec of a Python packaged code.
type PythonPackageSpec struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The URI of a container image in Artifact Registry that will run
	// the provided Python package. Vertex AI provides a wide range of executor
	// images with pre-installed packages to meet users' various use cases. See
	// the list of [pre-built containers for
	// training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
	// You must use an image from this list.
	ExecutorImageUri string `protobuf:"bytes,1,opt,name=executor_image_uri,json=executorImageUri,proto3" json:"executor_image_uri,omitempty"`
	// Required. The Google Cloud Storage location of the Python package files
	// which are the training program and its dependent packages. The maximum
	// number of package URIs is 100.
	PackageUris []string `protobuf:"bytes,2,rep,name=package_uris,json=packageUris,proto3" json:"package_uris,omitempty"`
	// Required. The Python module name to run after installing the packages.
	PythonModule string `protobuf:"bytes,3,opt,name=python_module,json=pythonModule,proto3" json:"python_module,omitempty"`
	// Command line arguments to be passed to the Python task.
	Args []string `protobuf:"bytes,4,rep,name=args,proto3" json:"args,omitempty"`
	// Environment variables to be passed to the python module.
	// Maximum limit is 100.
	Env []*EnvVar `protobuf:"bytes,5,rep,name=env,proto3" json:"env,omitempty"`
}

func (x *PythonPackageSpec) Reset() {
	*x = PythonPackageSpec{}
	mi := &file_google_cloud_aiplatform_v1beta1_custom_job_proto_msgTypes[4]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*PythonPackageSpec) ProtoMessage() {}

func (x *PythonPackageSpec) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_custom_job_proto_msgTypes[4]
	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 PythonPackageSpec.ProtoReflect.Descriptor instead.
func (*PythonPackageSpec) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDescGZIP(), []int{4}
}

func (x *PythonPackageSpec) GetExecutorImageUri() string {
	if x != nil {
		return x.ExecutorImageUri
	}
	return ""
}

func (x *PythonPackageSpec) GetPackageUris() []string {
	if x != nil {
		return x.PackageUris
	}
	return nil
}

func (x *PythonPackageSpec) GetPythonModule() string {
	if x != nil {
		return x.PythonModule
	}
	return ""
}

func (x *PythonPackageSpec) GetArgs() []string {
	if x != nil {
		return x.Args
	}
	return nil
}

func (x *PythonPackageSpec) GetEnv() []*EnvVar {
	if x != nil {
		return x.Env
	}
	return nil
}

// All parameters related to queuing and scheduling of custom jobs.
type Scheduling struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The maximum job running time. The default is 7 days.
	Timeout *durationpb.Duration `protobuf:"bytes,1,opt,name=timeout,proto3" json:"timeout,omitempty"`
	// Restarts the entire CustomJob if a worker gets restarted.
	// This feature can be used by distributed training jobs that are not
	// resilient to workers leaving and joining a job.
	RestartJobOnWorkerRestart bool `protobuf:"varint,3,opt,name=restart_job_on_worker_restart,json=restartJobOnWorkerRestart,proto3" json:"restart_job_on_worker_restart,omitempty"`
	// Optional. This determines which type of scheduling strategy to use.
	Strategy Scheduling_Strategy `protobuf:"varint,4,opt,name=strategy,proto3,enum=google.cloud.aiplatform.v1beta1.Scheduling_Strategy" json:"strategy,omitempty"`
	// Optional. Indicates if the job should retry for internal errors after the
	// job starts running. If true, overrides
	// `Scheduling.restart_job_on_worker_restart` to false.
	DisableRetries bool `protobuf:"varint,5,opt,name=disable_retries,json=disableRetries,proto3" json:"disable_retries,omitempty"`
	// Optional. This is the maximum duration that a job will wait for the
	// requested resources to be provisioned if the scheduling strategy is set to
	// [Strategy.DWS_FLEX_START].
	// If set to 0, the job will wait indefinitely. The default is 24 hours.
	MaxWaitDuration *durationpb.Duration `protobuf:"bytes,6,opt,name=max_wait_duration,json=maxWaitDuration,proto3" json:"max_wait_duration,omitempty"`
}

func (x *Scheduling) Reset() {
	*x = Scheduling{}
	mi := &file_google_cloud_aiplatform_v1beta1_custom_job_proto_msgTypes[5]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*Scheduling) ProtoMessage() {}

func (x *Scheduling) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_custom_job_proto_msgTypes[5]
	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 Scheduling.ProtoReflect.Descriptor instead.
func (*Scheduling) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDescGZIP(), []int{5}
}

func (x *Scheduling) GetTimeout() *durationpb.Duration {
	if x != nil {
		return x.Timeout
	}
	return nil
}

func (x *Scheduling) GetRestartJobOnWorkerRestart() bool {
	if x != nil {
		return x.RestartJobOnWorkerRestart
	}
	return false
}

func (x *Scheduling) GetStrategy() Scheduling_Strategy {
	if x != nil {
		return x.Strategy
	}
	return Scheduling_STRATEGY_UNSPECIFIED
}

func (x *Scheduling) GetDisableRetries() bool {
	if x != nil {
		return x.DisableRetries
	}
	return false
}

func (x *Scheduling) GetMaxWaitDuration() *durationpb.Duration {
	if x != nil {
		return x.MaxWaitDuration
	}
	return nil
}

var File_google_cloud_aiplatform_v1beta1_custom_job_proto protoreflect.FileDescriptor

var file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDesc = []byte{
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}

var (
	file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDescOnce sync.Once
	file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDescData = file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDesc
)

func file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDescGZIP() []byte {
	file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDescOnce.Do(func() {
		file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDescData)
	})
	return file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDescData
}

var file_google_cloud_aiplatform_v1beta1_custom_job_proto_enumTypes = make([]protoimpl.EnumInfo, 1)
var file_google_cloud_aiplatform_v1beta1_custom_job_proto_msgTypes = make([]protoimpl.MessageInfo, 8)
var file_google_cloud_aiplatform_v1beta1_custom_job_proto_goTypes = []any{
	(Scheduling_Strategy)(0),      // 0: google.cloud.aiplatform.v1beta1.Scheduling.Strategy
	(*CustomJob)(nil),             // 1: google.cloud.aiplatform.v1beta1.CustomJob
	(*CustomJobSpec)(nil),         // 2: google.cloud.aiplatform.v1beta1.CustomJobSpec
	(*WorkerPoolSpec)(nil),        // 3: google.cloud.aiplatform.v1beta1.WorkerPoolSpec
	(*ContainerSpec)(nil),         // 4: google.cloud.aiplatform.v1beta1.ContainerSpec
	(*PythonPackageSpec)(nil),     // 5: google.cloud.aiplatform.v1beta1.PythonPackageSpec
	(*Scheduling)(nil),            // 6: google.cloud.aiplatform.v1beta1.Scheduling
	nil,                           // 7: google.cloud.aiplatform.v1beta1.CustomJob.LabelsEntry
	nil,                           // 8: google.cloud.aiplatform.v1beta1.CustomJob.WebAccessUrisEntry
	(JobState)(0),                 // 9: google.cloud.aiplatform.v1beta1.JobState
	(*timestamppb.Timestamp)(nil), // 10: google.protobuf.Timestamp
	(*status.Status)(nil),         // 11: google.rpc.Status
	(*EncryptionSpec)(nil),        // 12: google.cloud.aiplatform.v1beta1.EncryptionSpec
	(*PscInterfaceConfig)(nil),    // 13: google.cloud.aiplatform.v1beta1.PscInterfaceConfig
	(*GcsDestination)(nil),        // 14: google.cloud.aiplatform.v1beta1.GcsDestination
	(*MachineSpec)(nil),           // 15: google.cloud.aiplatform.v1beta1.MachineSpec
	(*NfsMount)(nil),              // 16: google.cloud.aiplatform.v1beta1.NfsMount
	(*DiskSpec)(nil),              // 17: google.cloud.aiplatform.v1beta1.DiskSpec
	(*EnvVar)(nil),                // 18: google.cloud.aiplatform.v1beta1.EnvVar
	(*durationpb.Duration)(nil),   // 19: google.protobuf.Duration
}
var file_google_cloud_aiplatform_v1beta1_custom_job_proto_depIdxs = []int32{
	2,  // 0: google.cloud.aiplatform.v1beta1.CustomJob.job_spec:type_name -> google.cloud.aiplatform.v1beta1.CustomJobSpec
	9,  // 1: google.cloud.aiplatform.v1beta1.CustomJob.state:type_name -> google.cloud.aiplatform.v1beta1.JobState
	10, // 2: google.cloud.aiplatform.v1beta1.CustomJob.create_time:type_name -> google.protobuf.Timestamp
	10, // 3: google.cloud.aiplatform.v1beta1.CustomJob.start_time:type_name -> google.protobuf.Timestamp
	10, // 4: google.cloud.aiplatform.v1beta1.CustomJob.end_time:type_name -> google.protobuf.Timestamp
	10, // 5: google.cloud.aiplatform.v1beta1.CustomJob.update_time:type_name -> google.protobuf.Timestamp
	11, // 6: google.cloud.aiplatform.v1beta1.CustomJob.error:type_name -> google.rpc.Status
	7,  // 7: google.cloud.aiplatform.v1beta1.CustomJob.labels:type_name -> google.cloud.aiplatform.v1beta1.CustomJob.LabelsEntry
	12, // 8: google.cloud.aiplatform.v1beta1.CustomJob.encryption_spec:type_name -> google.cloud.aiplatform.v1beta1.EncryptionSpec
	8,  // 9: google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris:type_name -> google.cloud.aiplatform.v1beta1.CustomJob.WebAccessUrisEntry
	3,  // 10: google.cloud.aiplatform.v1beta1.CustomJobSpec.worker_pool_specs:type_name -> google.cloud.aiplatform.v1beta1.WorkerPoolSpec
	6,  // 11: google.cloud.aiplatform.v1beta1.CustomJobSpec.scheduling:type_name -> google.cloud.aiplatform.v1beta1.Scheduling
	13, // 12: google.cloud.aiplatform.v1beta1.CustomJobSpec.psc_interface_config:type_name -> google.cloud.aiplatform.v1beta1.PscInterfaceConfig
	14, // 13: google.cloud.aiplatform.v1beta1.CustomJobSpec.base_output_directory:type_name -> google.cloud.aiplatform.v1beta1.GcsDestination
	4,  // 14: google.cloud.aiplatform.v1beta1.WorkerPoolSpec.container_spec:type_name -> google.cloud.aiplatform.v1beta1.ContainerSpec
	5,  // 15: google.cloud.aiplatform.v1beta1.WorkerPoolSpec.python_package_spec:type_name -> google.cloud.aiplatform.v1beta1.PythonPackageSpec
	15, // 16: google.cloud.aiplatform.v1beta1.WorkerPoolSpec.machine_spec:type_name -> google.cloud.aiplatform.v1beta1.MachineSpec
	16, // 17: google.cloud.aiplatform.v1beta1.WorkerPoolSpec.nfs_mounts:type_name -> google.cloud.aiplatform.v1beta1.NfsMount
	17, // 18: google.cloud.aiplatform.v1beta1.WorkerPoolSpec.disk_spec:type_name -> google.cloud.aiplatform.v1beta1.DiskSpec
	18, // 19: google.cloud.aiplatform.v1beta1.ContainerSpec.env:type_name -> google.cloud.aiplatform.v1beta1.EnvVar
	18, // 20: google.cloud.aiplatform.v1beta1.PythonPackageSpec.env:type_name -> google.cloud.aiplatform.v1beta1.EnvVar
	19, // 21: google.cloud.aiplatform.v1beta1.Scheduling.timeout:type_name -> google.protobuf.Duration
	0,  // 22: google.cloud.aiplatform.v1beta1.Scheduling.strategy:type_name -> google.cloud.aiplatform.v1beta1.Scheduling.Strategy
	19, // 23: google.cloud.aiplatform.v1beta1.Scheduling.max_wait_duration:type_name -> google.protobuf.Duration
	24, // [24:24] is the sub-list for method output_type
	24, // [24:24] is the sub-list for method input_type
	24, // [24:24] is the sub-list for extension type_name
	24, // [24:24] is the sub-list for extension extendee
	0,  // [0:24] is the sub-list for field type_name
}

func init() { file_google_cloud_aiplatform_v1beta1_custom_job_proto_init() }
func file_google_cloud_aiplatform_v1beta1_custom_job_proto_init() {
	if File_google_cloud_aiplatform_v1beta1_custom_job_proto != nil {
		return
	}
	file_google_cloud_aiplatform_v1beta1_encryption_spec_proto_init()
	file_google_cloud_aiplatform_v1beta1_env_var_proto_init()
	file_google_cloud_aiplatform_v1beta1_io_proto_init()
	file_google_cloud_aiplatform_v1beta1_job_state_proto_init()
	file_google_cloud_aiplatform_v1beta1_machine_resources_proto_init()
	file_google_cloud_aiplatform_v1beta1_service_networking_proto_init()
	file_google_cloud_aiplatform_v1beta1_custom_job_proto_msgTypes[2].OneofWrappers = []any{
		(*WorkerPoolSpec_ContainerSpec)(nil),
		(*WorkerPoolSpec_PythonPackageSpec)(nil),
	}
	type x struct{}
	out := protoimpl.TypeBuilder{
		File: protoimpl.DescBuilder{
			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
			RawDescriptor: file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDesc,
			NumEnums:      1,
			NumMessages:   8,
			NumExtensions: 0,
			NumServices:   0,
		},
		GoTypes:           file_google_cloud_aiplatform_v1beta1_custom_job_proto_goTypes,
		DependencyIndexes: file_google_cloud_aiplatform_v1beta1_custom_job_proto_depIdxs,
		EnumInfos:         file_google_cloud_aiplatform_v1beta1_custom_job_proto_enumTypes,
		MessageInfos:      file_google_cloud_aiplatform_v1beta1_custom_job_proto_msgTypes,
	}.Build()
	File_google_cloud_aiplatform_v1beta1_custom_job_proto = out.File
	file_google_cloud_aiplatform_v1beta1_custom_job_proto_rawDesc = nil
	file_google_cloud_aiplatform_v1beta1_custom_job_proto_goTypes = nil
	file_google_cloud_aiplatform_v1beta1_custom_job_proto_depIdxs = nil
}