Class CustomJobSpec (3.55.0) 

public final class CustomJobSpec extends GeneratedMessageV3 implements CustomJobSpecOrBuilder

Represents the spec of a CustomJob.

Protobuf type google.cloud.aiplatform.v1.CustomJobSpec

Inheritance

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

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

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

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.v1.GcsDestination base_output_directory = 6;

Returns
Type Description
GcsDestination

The baseOutputDirectory.

getBaseOutputDirectoryOrBuilder()

public GcsDestinationOrBuilder getBaseOutputDirectoryOrBuilder()

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.v1.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)

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 value to return.
Returns
Type Description
ByteString

The bytes of the models at the given index.

getModelsCount()

public int getModelsCount()

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) = { ... }

Returns
Type Description
int

The count of models.

getModelsList()

public ProtocolStringList getModelsList()

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) = { ... }

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()

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
ByteString

The bytes for network.

getParserForType()

public Parser<CustomJobSpec> getParserForType()
Returns
Type Description
Parser<CustomJobSpec>
Overrides

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

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
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()

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
ByteString

The bytes for protectedArtifactLocationId.

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.v1.Scheduling scheduling = 3;

Returns
Type Description
Scheduling

The scheduling.

getSchedulingOrBuilder()

public SchedulingOrBuilder getSchedulingOrBuilder()

Scheduling options for a CustomJob.

.google.cloud.aiplatform.v1.Scheduling scheduling = 3;

Returns
Type Description
SchedulingOrBuilder

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

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()

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
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.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
index int
Returns
Type Description
WorkerPoolSpec

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.v1.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.v1.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.v1.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.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
List<? extends com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder>

hasBaseOutputDirectory()

public boolean hasBaseOutputDirectory()

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.v1.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.v1.Scheduling scheduling = 3;

Returns
Type Description
boolean

Whether the scheduling field is set.

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public CustomJobSpec.Builder newBuilderForType()
Returns
Type Description
CustomJobSpec.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected CustomJobSpec.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
CustomJobSpec.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public CustomJobSpec.Builder toBuilder()
Returns
Type Description
CustomJobSpec.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException