Class CustomJobSpec.Builder (3.23.0)

public static final class CustomJobSpec.Builder extends GeneratedMessageV3.Builder<CustomJobSpec.Builder> implements CustomJobSpecOrBuilder

Represents the spec of a CustomJob.

Protobuf type google.cloud.aiplatform.v1beta1.CustomJobSpec

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > CustomJobSpec.Builder

Implements

CustomJobSpecOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
`Descriptor`

Methods

addAllReservedIpRanges(Iterable<String> values)

public CustomJobSpec.Builder addAllReservedIpRanges(Iterable<String> values)

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'].

repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
`values`	`Iterable<String>` The reservedIpRanges to add.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

addAllWorkerPoolSpecs(Iterable<? extends WorkerPoolSpec> values)

public CustomJobSpec.Builder addAllWorkerPoolSpecs(Iterable<? extends WorkerPoolSpec> values)

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
`values`	`Iterable<? extends com.google.cloud.aiplatform.v1beta1.WorkerPoolSpec>`

Returns
Type	Description
`CustomJobSpec.Builder`

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public CustomJobSpec.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`value`	`Object`

Returns
Type	Description
`CustomJobSpec.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

addReservedIpRanges(String value)

public CustomJobSpec.Builder addReservedIpRanges(String value)

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'].

repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
`value`	`String` The reservedIpRanges to add.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

addReservedIpRangesBytes(ByteString value)

public CustomJobSpec.Builder addReservedIpRangesBytes(ByteString value)

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'].

repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
`value`	`ByteString` The bytes of the reservedIpRanges to add.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

addWorkerPoolSpecs(WorkerPoolSpec value)

public CustomJobSpec.Builder addWorkerPoolSpecs(WorkerPoolSpec value)

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
`value`	`WorkerPoolSpec`

Returns
Type	Description
`CustomJobSpec.Builder`

addWorkerPoolSpecs(WorkerPoolSpec.Builder builderForValue)

public CustomJobSpec.Builder addWorkerPoolSpecs(WorkerPoolSpec.Builder builderForValue)

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
`builderForValue`	`WorkerPoolSpec.Builder`

Returns
Type	Description
`CustomJobSpec.Builder`

addWorkerPoolSpecs(int index, WorkerPoolSpec value)

public CustomJobSpec.Builder addWorkerPoolSpecs(int index, WorkerPoolSpec value)

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
`index`	`int`
`value`	`WorkerPoolSpec`

Returns
Type	Description
`CustomJobSpec.Builder`

addWorkerPoolSpecs(int index, WorkerPoolSpec.Builder builderForValue)

public CustomJobSpec.Builder addWorkerPoolSpecs(int index, WorkerPoolSpec.Builder builderForValue)

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
`index`	`int`
`builderForValue`	`WorkerPoolSpec.Builder`

Returns
Type	Description
`CustomJobSpec.Builder`

addWorkerPoolSpecsBuilder()

public WorkerPoolSpec.Builder addWorkerPoolSpecsBuilder()

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`WorkerPoolSpec.Builder`

addWorkerPoolSpecsBuilder(int index)

public WorkerPoolSpec.Builder addWorkerPoolSpecsBuilder(int index)

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`WorkerPoolSpec.Builder`

build()

public CustomJobSpec build()

Returns
Type	Description
`CustomJobSpec`

buildPartial()

public CustomJobSpec buildPartial()

Returns
Type	Description
`CustomJobSpec`

clear()

public CustomJobSpec.Builder clear()

Returns
Type	Description
`CustomJobSpec.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearBaseOutputDirectory()

public CustomJobSpec.Builder clearBaseOutputDirectory()

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 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/

.google.cloud.aiplatform.v1beta1.GcsDestination base_output_directory = 6;

Returns
Type	Description
`CustomJobSpec.Builder`

clearEnableDashboardAccess()

public CustomJobSpec.Builder clearEnableDashboardAccess()

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 or Trial.web_access_uris (within HyperparameterTuningJob.trials).

bool enable_dashboard_access = 16 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

clearEnableWebAccess()

public CustomJobSpec.Builder clearEnableWebAccess()

Optional. Whether you want Vertex AI to enable interactive shell access to training containers.

If set to true, you can access interactive shells at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).

bool enable_web_access = 10 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

clearExperiment()

public CustomJobSpec.Builder clearExperiment()

Optional. The Experiment associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}

string experiment = 17 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

clearExperimentRun()

public CustomJobSpec.Builder clearExperimentRun()

Optional. The Experiment Run associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}

string experiment_run = 18 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public CustomJobSpec.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
`field`	`FieldDescriptor`

Returns
Type	Description
`CustomJobSpec.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearNetwork()

public CustomJobSpec.Builder clearNetwork()

Optional. The full name of the Compute Engine network to which the Job should be peered. For example, projects/12345/global/networks/myVPC. Format 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.

If this field is left unspecified, the job is not peered with any network.

string network = 5 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public CustomJobSpec.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
`oneof`	`OneofDescriptor`

Returns
Type	Description
`CustomJobSpec.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearPersistentResourceId()

public CustomJobSpec.Builder clearPersistentResourceId()

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.

string persistent_resource_id = 14 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

clearReservedIpRanges()

public CustomJobSpec.Builder clearReservedIpRanges()

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'].

repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

clearScheduling()

public CustomJobSpec.Builder clearScheduling()

Scheduling options for a CustomJob.

.google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;

Returns
Type	Description
`CustomJobSpec.Builder`

clearServiceAccount()

public CustomJobSpec.Builder clearServiceAccount()

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 for the CustomJob's project is used.

string service_account = 4;

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

clearTensorboard()

public CustomJobSpec.Builder clearTensorboard()

Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}

string tensorboard = 7 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

clearWorkerPoolSpecs()

public CustomJobSpec.Builder clearWorkerPoolSpecs()

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`CustomJobSpec.Builder`

clone()

public CustomJobSpec.Builder clone()

Returns
Type	Description
`CustomJobSpec.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getBaseOutputDirectory()

public GcsDestination getBaseOutputDirectory()

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/

.google.cloud.aiplatform.v1beta1.GcsDestination base_output_directory = 6;

Returns
Type	Description
`GcsDestination`	The baseOutputDirectory.

getBaseOutputDirectoryBuilder()

public GcsDestination.Builder getBaseOutputDirectoryBuilder()

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/

.google.cloud.aiplatform.v1beta1.GcsDestination base_output_directory = 6;

Returns
Type	Description
`GcsDestination.Builder`

getBaseOutputDirectoryOrBuilder()

public GcsDestinationOrBuilder getBaseOutputDirectoryOrBuilder()

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/

.google.cloud.aiplatform.v1beta1.GcsDestination base_output_directory = 6;

Returns
Type	Description
`GcsDestinationOrBuilder`

getDefaultInstanceForType()

public CustomJobSpec getDefaultInstanceForType()

Returns
Type	Description
`CustomJobSpec`

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
`Descriptor`

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getEnableDashboardAccess()

public boolean getEnableDashboardAccess()

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 or Trial.web_access_uris (within HyperparameterTuningJob.trials).

bool enable_dashboard_access = 16 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`boolean`	The enableDashboardAccess.

getEnableWebAccess()

public boolean getEnableWebAccess()

Optional. Whether you want Vertex AI to enable interactive shell access to training containers.

If set to true, you can access interactive shells at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).

bool enable_web_access = 10 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`boolean`	The enableWebAccess.

getExperiment()

public String getExperiment()

Optional. The Experiment associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}

string experiment = 17 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Returns
Type	Description
`String`	The experiment.

getExperimentBytes()

public ByteString getExperimentBytes()

Optional. The Experiment associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}

string experiment = 17 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Returns
Type	Description
`ByteString`	The bytes for experiment.

getExperimentRun()

public String getExperimentRun()

Optional. The Experiment Run associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}

string experiment_run = 18 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Returns
Type	Description
`String`	The experimentRun.

getExperimentRunBytes()

public ByteString getExperimentRunBytes()

Optional. The Experiment Run associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}

string experiment_run = 18 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Returns
Type	Description
`ByteString`	The bytes for experimentRun.

getNetwork()

public String getNetwork()

To specify this field, you must have already configured VPC Network Peering for Vertex AI.

If this field is left unspecified, the job is not peered with any network.

string network = 5 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Returns
Type	Description
`String`	The network.

getNetworkBytes()

public ByteString getNetworkBytes()

To specify this field, you must have already configured VPC Network Peering for Vertex AI.

If this field is left unspecified, the job is not peered with any network.

string network = 5 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Returns
Type	Description
`ByteString`	The bytes for network.

getPersistentResourceId()

public String getPersistentResourceId()

Optional. The ID of the PersistentResource in the same Project and Location which to run

string persistent_resource_id = 14 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Returns
Type	Description
`String`	The persistentResourceId.

getPersistentResourceIdBytes()

public ByteString getPersistentResourceIdBytes()

Optional. The ID of the PersistentResource in the same Project and Location which to run

string persistent_resource_id = 14 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Returns
Type	Description
`ByteString`	The bytes for persistentResourceId.

getReservedIpRanges(int index)

public String getReservedIpRanges(int index)

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'].

repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
`index`	`int` The index of the element to return.

Returns
Type	Description
`String`	The reservedIpRanges at the given index.

getReservedIpRangesBytes(int index)

public ByteString getReservedIpRangesBytes(int index)

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'].

repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
`index`	`int` The index of the value to return.

Returns
Type	Description
`ByteString`	The bytes of the reservedIpRanges at the given index.

getReservedIpRangesCount()

public int getReservedIpRangesCount()

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'].

repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`int`	The count of reservedIpRanges.

getReservedIpRangesList()

public ProtocolStringList getReservedIpRangesList()

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'].

repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`ProtocolStringList`	A list containing the reservedIpRanges.

getScheduling()

public Scheduling getScheduling()

Scheduling options for a CustomJob.

.google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;

Returns
Type	Description
`Scheduling`	The scheduling.

getSchedulingBuilder()

public Scheduling.Builder getSchedulingBuilder()

Scheduling options for a CustomJob.

.google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;

Returns
Type	Description
`Scheduling.Builder`

getSchedulingOrBuilder()

public SchedulingOrBuilder getSchedulingOrBuilder()

Scheduling options for a CustomJob.

.google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;

Returns
Type	Description
`SchedulingOrBuilder`

getServiceAccount()

public String getServiceAccount()

string service_account = 4;

Returns
Type	Description
`String`	The serviceAccount.

getServiceAccountBytes()

public ByteString getServiceAccountBytes()

string service_account = 4;

Returns
Type	Description
`ByteString`	The bytes for serviceAccount.

getTensorboard()

public String getTensorboard()

Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}

string tensorboard = 7 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Returns
Type	Description
`String`	The tensorboard.

getTensorboardBytes()

public ByteString getTensorboardBytes()

Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}

string tensorboard = 7 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Returns
Type	Description
`ByteString`	The bytes for tensorboard.

getWorkerPoolSpecs(int index)

public WorkerPoolSpec getWorkerPoolSpecs(int index)

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`WorkerPoolSpec`

getWorkerPoolSpecsBuilder(int index)

public WorkerPoolSpec.Builder getWorkerPoolSpecsBuilder(int index)

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`WorkerPoolSpec.Builder`

getWorkerPoolSpecsBuilderList()

public List<WorkerPoolSpec.Builder> getWorkerPoolSpecsBuilderList()

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`List<Builder>`

getWorkerPoolSpecsCount()

public int getWorkerPoolSpecsCount()

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`int`

getWorkerPoolSpecsList()

public List<WorkerPoolSpec> getWorkerPoolSpecsList()

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`List<WorkerPoolSpec>`

getWorkerPoolSpecsOrBuilder(int index)

public WorkerPoolSpecOrBuilder getWorkerPoolSpecsOrBuilder(int index)

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`WorkerPoolSpecOrBuilder`

getWorkerPoolSpecsOrBuilderList()

public List<? extends WorkerPoolSpecOrBuilder> getWorkerPoolSpecsOrBuilderList()

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`List<? extends com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder>`

hasBaseOutputDirectory()

public boolean hasBaseOutputDirectory()

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/

.google.cloud.aiplatform.v1beta1.GcsDestination base_output_directory = 6;

Returns
Type	Description
`boolean`	Whether the baseOutputDirectory field is set.

hasScheduling()

public boolean hasScheduling()

Scheduling options for a CustomJob.

.google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;

Returns
Type	Description
`boolean`	Whether the scheduling field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
`FieldAccessorTable`

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
`boolean`

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeBaseOutputDirectory(GcsDestination value)

public CustomJobSpec.Builder mergeBaseOutputDirectory(GcsDestination value)

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/

.google.cloud.aiplatform.v1beta1.GcsDestination base_output_directory = 6;

Parameter
Name	Description
`value`	`GcsDestination`

Returns
Type	Description
`CustomJobSpec.Builder`

mergeFrom(CustomJobSpec other)

public CustomJobSpec.Builder mergeFrom(CustomJobSpec other)

Parameter
Name	Description
`other`	`CustomJobSpec`

Returns
Type	Description
`CustomJobSpec.Builder`

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public CustomJobSpec.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`input`	`CodedInputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`CustomJobSpec.Builder`

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
`IOException`

mergeFrom(Message other)

public CustomJobSpec.Builder mergeFrom(Message other)

Parameter
Name	Description
`other`	`Message`

Returns
Type	Description
`CustomJobSpec.Builder`

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeScheduling(Scheduling value)

public CustomJobSpec.Builder mergeScheduling(Scheduling value)

Scheduling options for a CustomJob.

.google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;

Parameter
Name	Description
`value`	`Scheduling`

Returns
Type	Description
`CustomJobSpec.Builder`

mergeUnknownFields(UnknownFieldSet unknownFields)

public final CustomJobSpec.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
`unknownFields`	`UnknownFieldSet`

Returns
Type	Description
`CustomJobSpec.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

removeWorkerPoolSpecs(int index)

public CustomJobSpec.Builder removeWorkerPoolSpecs(int index)

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`CustomJobSpec.Builder`

setBaseOutputDirectory(GcsDestination value)

public CustomJobSpec.Builder setBaseOutputDirectory(GcsDestination value)

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/

.google.cloud.aiplatform.v1beta1.GcsDestination base_output_directory = 6;

Parameter
Name	Description
`value`	`GcsDestination`

Returns
Type	Description
`CustomJobSpec.Builder`

setBaseOutputDirectory(GcsDestination.Builder builderForValue)

public CustomJobSpec.Builder setBaseOutputDirectory(GcsDestination.Builder builderForValue)

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/

.google.cloud.aiplatform.v1beta1.GcsDestination base_output_directory = 6;

Parameter
Name	Description
`builderForValue`	`GcsDestination.Builder`

Returns
Type	Description
`CustomJobSpec.Builder`

setEnableDashboardAccess(boolean value)

public CustomJobSpec.Builder setEnableDashboardAccess(boolean value)

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 or Trial.web_access_uris (within HyperparameterTuningJob.trials).

bool enable_dashboard_access = 16 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
`value`	`boolean` The enableDashboardAccess to set.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

setEnableWebAccess(boolean value)

public CustomJobSpec.Builder setEnableWebAccess(boolean value)

Optional. Whether you want Vertex AI to enable interactive shell access to training containers.

If set to true, you can access interactive shells at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).

bool enable_web_access = 10 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
`value`	`boolean` The enableWebAccess to set.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

setExperiment(String value)

public CustomJobSpec.Builder setExperiment(String value)

Optional. The Experiment associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}

string experiment = 17 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Parameter
Name	Description
`value`	`String` The experiment to set.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

setExperimentBytes(ByteString value)

public CustomJobSpec.Builder setExperimentBytes(ByteString value)

Optional. The Experiment associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}

string experiment = 17 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Parameter
Name	Description
`value`	`ByteString` The bytes for experiment to set.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

setExperimentRun(String value)

public CustomJobSpec.Builder setExperimentRun(String value)

Optional. The Experiment Run associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}

string experiment_run = 18 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Parameter
Name	Description
`value`	`String` The experimentRun to set.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

setExperimentRunBytes(ByteString value)

public CustomJobSpec.Builder setExperimentRunBytes(ByteString value)

Optional. The Experiment Run associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}

string experiment_run = 18 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Parameter
Name	Description
`value`	`ByteString` The bytes for experimentRun to set.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public CustomJobSpec.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`value`	`Object`

Returns
Type	Description
`CustomJobSpec.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setNetwork(String value)

public CustomJobSpec.Builder setNetwork(String value)

To specify this field, you must have already configured VPC Network Peering for Vertex AI.

If this field is left unspecified, the job is not peered with any network.

string network = 5 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Parameter
Name	Description
`value`	`String` The network to set.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

setNetworkBytes(ByteString value)

public CustomJobSpec.Builder setNetworkBytes(ByteString value)

To specify this field, you must have already configured VPC Network Peering for Vertex AI.

If this field is left unspecified, the job is not peered with any network.

string network = 5 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Parameter
Name	Description
`value`	`ByteString` The bytes for network to set.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

setPersistentResourceId(String value)

public CustomJobSpec.Builder setPersistentResourceId(String value)

Optional. The ID of the PersistentResource in the same Project and Location which to run

string persistent_resource_id = 14 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Parameter
Name	Description
`value`	`String` The persistentResourceId to set.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

setPersistentResourceIdBytes(ByteString value)

public CustomJobSpec.Builder setPersistentResourceIdBytes(ByteString value)

Optional. The ID of the PersistentResource in the same Project and Location which to run

string persistent_resource_id = 14 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Parameter
Name	Description
`value`	`ByteString` The bytes for persistentResourceId to set.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public CustomJobSpec.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`index`	`int`
`value`	`Object`

Returns
Type	Description
`CustomJobSpec.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setReservedIpRanges(int index, String value)

public CustomJobSpec.Builder setReservedIpRanges(int index, String value)

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'].

repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];

Parameters
Name	Description
`index`	`int` The index to set the value at.
`value`	`String` The reservedIpRanges to set.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

setScheduling(Scheduling value)

public CustomJobSpec.Builder setScheduling(Scheduling value)

Scheduling options for a CustomJob.

.google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;

Parameter
Name	Description
`value`	`Scheduling`

Returns
Type	Description
`CustomJobSpec.Builder`

setScheduling(Scheduling.Builder builderForValue)

public CustomJobSpec.Builder setScheduling(Scheduling.Builder builderForValue)

Scheduling options for a CustomJob.

.google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;

Parameter
Name	Description
`builderForValue`	`Scheduling.Builder`

Returns
Type	Description
`CustomJobSpec.Builder`

setServiceAccount(String value)

public CustomJobSpec.Builder setServiceAccount(String value)

string service_account = 4;

Parameter
Name	Description
`value`	`String` The serviceAccount to set.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

setServiceAccountBytes(ByteString value)

public CustomJobSpec.Builder setServiceAccountBytes(ByteString value)

string service_account = 4;

Parameter
Name	Description
`value`	`ByteString` The bytes for serviceAccount to set.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

setTensorboard(String value)

public CustomJobSpec.Builder setTensorboard(String value)

Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}

string tensorboard = 7 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Parameter
Name	Description
`value`	`String` The tensorboard to set.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

setTensorboardBytes(ByteString value)

public CustomJobSpec.Builder setTensorboardBytes(ByteString value)

Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}

string tensorboard = 7 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Parameter
Name	Description
`value`	`ByteString` The bytes for tensorboard to set.

Returns
Type	Description
`CustomJobSpec.Builder`	This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final CustomJobSpec.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
`unknownFields`	`UnknownFieldSet`

Returns
Type	Description
`CustomJobSpec.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)

setWorkerPoolSpecs(int index, WorkerPoolSpec value)

public CustomJobSpec.Builder setWorkerPoolSpecs(int index, WorkerPoolSpec value)

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
`index`	`int`
`value`	`WorkerPoolSpec`

Returns
Type	Description
`CustomJobSpec.Builder`

setWorkerPoolSpecs(int index, WorkerPoolSpec.Builder builderForValue)

public CustomJobSpec.Builder setWorkerPoolSpecs(int index, WorkerPoolSpec.Builder builderForValue)

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.

repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
`index`	`int`
`builderForValue`	`WorkerPoolSpec.Builder`

Returns
Type	Description
`CustomJobSpec.Builder`