Class CustomJobSpec (3.54.0)

public final class CustomJobSpec extends GeneratedMessageV3 implements CustomJobSpecOrBuilder

Represents the spec of a CustomJob.

Protobuf type google.cloud.aiplatform.v1beta1.CustomJobSpec

Inheritance

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

Implements

CustomJobSpecOrBuilder

Inherited Members

AbstractMessage.equals(Object)

AbstractMessage.findInitializationErrors()

AbstractMessage.getInitializationErrorString()

AbstractMessage.hashBoolean(boolean)

AbstractMessage.hashCode()

AbstractMessage.hashEnum(Internal.EnumLite)

AbstractMessage.hashEnumList(List<? extends Internal.EnumLite>)

AbstractMessage.hashFields(int,Map<Descriptors.FieldDescriptor,Object>)

AbstractMessage.hashLong(long)

AbstractMessage.toString()

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

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

AbstractMessageLite.checkByteStringIsUtf8(ByteString)

AbstractMessageLite.toByteArray()

AbstractMessageLite.toByteString()

AbstractMessageLite.writeDelimitedTo(OutputStream)

AbstractMessageLite.writeTo(OutputStream)

com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)

com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT,int)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

com.google.protobuf.GeneratedMessageV3.<T>emptyList(java.lang.Class<T>)

GeneratedMessageV3.<V>serializeBooleanMapTo(CodedOutputStream,MapField<Boolean,V>,MapEntry<Boolean,V>,int)

GeneratedMessageV3.<V>serializeIntegerMapTo(CodedOutputStream,MapField<Integer,V>,MapEntry<Integer,V>,int)

GeneratedMessageV3.<V>serializeLongMapTo(CodedOutputStream,MapField<Long,V>,MapEntry<Long,V>,int)

GeneratedMessageV3.<V>serializeStringMapTo(CodedOutputStream,MapField<String,V>,MapEntry<String,V>,int)

GeneratedMessageV3.canUseUnsafe()

GeneratedMessageV3.computeStringSize(int,Object)

GeneratedMessageV3.computeStringSizeNoTag(Object)

GeneratedMessageV3.emptyBooleanList()

GeneratedMessageV3.emptyDoubleList()

GeneratedMessageV3.emptyFloatList()

GeneratedMessageV3.emptyIntList()

GeneratedMessageV3.emptyLongList()

GeneratedMessageV3.getAllFields()

GeneratedMessageV3.getDescriptorForType()

GeneratedMessageV3.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.getParserForType()

GeneratedMessageV3.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.getRepeatedFieldCount(Descriptors.FieldDescriptor)

GeneratedMessageV3.getSerializedSize()

GeneratedMessageV3.getUnknownFields()

GeneratedMessageV3.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.internalGetFieldAccessorTable()

GeneratedMessageV3.internalGetMapField(int)

com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(int)

GeneratedMessageV3.isInitialized()

GeneratedMessageV3.isStringEmpty(Object)

GeneratedMessageV3.makeExtensionsImmutable()

GeneratedMessageV3.mergeFromAndMakeImmutableInternal(CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.mutableCopy(Internal.BooleanList)

GeneratedMessageV3.mutableCopy(Internal.DoubleList)

GeneratedMessageV3.mutableCopy(Internal.FloatList)

GeneratedMessageV3.mutableCopy(Internal.IntList)

GeneratedMessageV3.mutableCopy(Internal.LongList)

GeneratedMessageV3.newBooleanList()

GeneratedMessageV3.newBuilderForType(AbstractMessage.BuilderParent)

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent)

GeneratedMessageV3.newDoubleList()

GeneratedMessageV3.newFloatList()

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter)

GeneratedMessageV3.newIntList()

GeneratedMessageV3.newLongList()

GeneratedMessageV3.parseUnknownField(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.parseUnknownFieldProto3(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.writeReplace()

GeneratedMessageV3.writeString(CodedOutputStream,int,Object)

GeneratedMessageV3.writeStringNoTag(CodedOutputStream,Object)

GeneratedMessageV3.writeTo(CodedOutputStream)

Object.clone()

Object.finalize()

Object.getClass()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Fields

BASE_OUTPUT_DIRECTORY_FIELD_NUMBER

public static final int BASE_OUTPUT_DIRECTORY_FIELD_NUMBER

Field Value
Type	Description
`int`

ENABLE_DASHBOARD_ACCESS_FIELD_NUMBER

public static final int ENABLE_DASHBOARD_ACCESS_FIELD_NUMBER

Field Value
Type	Description
`int`

ENABLE_WEB_ACCESS_FIELD_NUMBER

public static final int ENABLE_WEB_ACCESS_FIELD_NUMBER

Field Value
Type	Description
`int`

EXPERIMENT_FIELD_NUMBER

public static final int EXPERIMENT_FIELD_NUMBER

Field Value
Type	Description
`int`

EXPERIMENT_RUN_FIELD_NUMBER

public static final int EXPERIMENT_RUN_FIELD_NUMBER

Field Value
Type	Description
`int`

MODELS_FIELD_NUMBER

public static final int MODELS_FIELD_NUMBER

Field Value
Type	Description
`int`

NETWORK_FIELD_NUMBER

public static final int NETWORK_FIELD_NUMBER

Field Value
Type	Description
`int`

PERSISTENT_RESOURCE_ID_FIELD_NUMBER

public static final int PERSISTENT_RESOURCE_ID_FIELD_NUMBER

Field Value
Type	Description
`int`

PROTECTED_ARTIFACT_LOCATION_ID_FIELD_NUMBER

public static final int PROTECTED_ARTIFACT_LOCATION_ID_FIELD_NUMBER

Field Value
Type	Description
`int`

PSC_INTERFACE_CONFIG_FIELD_NUMBER

public static final int PSC_INTERFACE_CONFIG_FIELD_NUMBER

Field Value
Type	Description
`int`

RESERVED_IP_RANGES_FIELD_NUMBER

public static final int RESERVED_IP_RANGES_FIELD_NUMBER

Field Value
Type	Description
`int`

SCHEDULING_FIELD_NUMBER

public static final int SCHEDULING_FIELD_NUMBER

Field Value
Type	Description
`int`

SERVICE_ACCOUNT_FIELD_NUMBER

public static final int SERVICE_ACCOUNT_FIELD_NUMBER

Field Value
Type	Description
`int`

TENSORBOARD_FIELD_NUMBER

public static final int TENSORBOARD_FIELD_NUMBER

Field Value
Type	Description
`int`

WORKER_POOL_SPECS_FIELD_NUMBER

public static final int WORKER_POOL_SPECS_FIELD_NUMBER

Field Value
Type	Description
`int`

Static Methods

getDefaultInstance()

public static CustomJobSpec getDefaultInstance()

Returns
Type	Description
`CustomJobSpec`

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
`Descriptor`

newBuilder()

public static CustomJobSpec.Builder newBuilder()

Returns
Type	Description
`CustomJobSpec.Builder`

newBuilder(CustomJobSpec prototype)

public static CustomJobSpec.Builder newBuilder(CustomJobSpec prototype)

Parameter
Name	Description
`prototype`	`CustomJobSpec`

Returns
Type	Description
`CustomJobSpec.Builder`

parseDelimitedFrom(InputStream input)

public static CustomJobSpec parseDelimitedFrom(InputStream input)

Parameter
Name	Description
`input`	`InputStream`

Returns
Type	Description
`CustomJobSpec`

Exceptions
Type	Description
`IOException`

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static CustomJobSpec parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`input`	`InputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`CustomJobSpec`

Exceptions
Type	Description
`IOException`

parseFrom(byte[] data)

public static CustomJobSpec parseFrom(byte[] data)

Parameter
Name	Description
`data`	`byte[]`

Returns
Type	Description
`CustomJobSpec`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static CustomJobSpec parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`data`	`byte[]`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`CustomJobSpec`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteString data)

public static CustomJobSpec parseFrom(ByteString data)

Parameter
Name	Description
`data`	`ByteString`

Returns
Type	Description
`CustomJobSpec`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static CustomJobSpec parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`data`	`ByteString`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`CustomJobSpec`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(CodedInputStream input)

public static CustomJobSpec parseFrom(CodedInputStream input)

Parameter
Name	Description
`input`	`CodedInputStream`

Returns
Type	Description
`CustomJobSpec`

Exceptions
Type	Description
`IOException`

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static CustomJobSpec parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Returns
Type	Description
`CustomJobSpec`

Exceptions
Type	Description
`IOException`

parseFrom(InputStream input)

public static CustomJobSpec parseFrom(InputStream input)

Parameter
Name	Description
`input`	`InputStream`

Returns
Type	Description
`CustomJobSpec`

Exceptions
Type	Description
`IOException`

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static CustomJobSpec parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`input`	`InputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`CustomJobSpec`

Exceptions
Type	Description
`IOException`

parseFrom(ByteBuffer data)

public static CustomJobSpec parseFrom(ByteBuffer data)

Parameter
Name	Description
`data`	`ByteBuffer`

Returns
Type	Description
`CustomJobSpec`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static CustomJobSpec parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`data`	`ByteBuffer`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`CustomJobSpec`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parser()

public static Parser<CustomJobSpec> parser()

Returns
Type	Description
`Parser<CustomJobSpec>`

Methods

equals(Object obj)

public boolean equals(Object obj)

Parameter
Name	Description
`obj`	`Object`

Returns
Type	Description
`boolean`

Overrides

AbstractMessage.equals(Object other)

getBaseOutputDirectory()

public GcsDestination getBaseOutputDirectory()

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
`GcsDestination`	The baseOutputDirectory.

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`

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.

getModels(int index)

public String getModels(int index)

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.

repeated string models = 20 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

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

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

getModelsBytes(int index)

public ByteString getModelsBytes(int index)

repeated string models = 20 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

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

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

getModelsCount()

public int getModelsCount()

repeated string models = 20 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

Returns
Type	Description
`int`	The count of models.

getModelsList()

public ProtocolStringList getModelsList()

repeated string models = 20 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }

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

getNetwork()

public String getNetwork()

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
`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.

getParserForType()

public Parser<CustomJobSpec> getParserForType()

Returns
Type	Description
`Parser<CustomJobSpec>`

Overrides

GeneratedMessageV3.getParserForType()

getPersistentResourceId()

public String getPersistentResourceId()

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
`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.

getProtectedArtifactLocationId()

public String getProtectedArtifactLocationId()

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

string protected_artifact_location_id = 19;

Returns
Type	Description
`String`	The protectedArtifactLocationId.

getProtectedArtifactLocationIdBytes()

public ByteString getProtectedArtifactLocationIdBytes()

string protected_artifact_location_id = 19;

Returns
Type	Description
`ByteString`	The bytes for protectedArtifactLocationId.

getPscInterfaceConfig()

public PscInterfaceConfig getPscInterfaceConfig()

Optional. Configuration for PSC-I for CustomJob.

.google.cloud.aiplatform.v1beta1.PscInterfaceConfig psc_interface_config = 21 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`PscInterfaceConfig`	The pscInterfaceConfig.

getPscInterfaceConfigOrBuilder()

public PscInterfaceConfigOrBuilder getPscInterfaceConfigOrBuilder()

Optional. Configuration for PSC-I for CustomJob.

.google.cloud.aiplatform.v1beta1.PscInterfaceConfig psc_interface_config = 21 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`PscInterfaceConfigOrBuilder`

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.

getSchedulingOrBuilder()

public SchedulingOrBuilder getSchedulingOrBuilder()

Scheduling options for a CustomJob.

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

Returns
Type	Description
`SchedulingOrBuilder`

getSerializedSize()

public int getSerializedSize()

Returns
Type	Description
`int`

Overrides

GeneratedMessageV3.getSerializedSize()

getServiceAccount()

public String getServiceAccount()

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
`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.