- 3.55.0 (latest)
- 3.54.0
- 3.53.0
- 3.52.0
- 3.50.0
- 3.49.0
- 3.48.0
- 3.47.0
- 3.46.0
- 3.45.0
- 3.44.0
- 3.43.0
- 3.42.0
- 3.41.0
- 3.40.0
- 3.38.0
- 3.37.0
- 3.36.0
- 3.35.0
- 3.34.0
- 3.33.0
- 3.32.0
- 3.31.0
- 3.30.0
- 3.29.0
- 3.28.0
- 3.25.0
- 3.24.0
- 3.23.0
- 3.22.0
- 3.21.0
- 3.20.0
- 3.19.0
- 3.18.0
- 3.17.0
- 3.16.0
- 3.15.0
- 3.14.0
- 3.13.0
- 3.12.0
- 3.11.0
- 3.10.0
- 3.9.0
- 3.8.0
- 3.7.0
- 3.6.0
- 3.5.0
- 3.4.2
- 3.3.0
- 3.2.0
- 3.0.0
- 2.9.8
- 2.8.9
- 2.7.4
- 2.5.3
- 2.4.0
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.BuilderImplements
CustomJobSpecOrBuilderMethods
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];
Name | Description |
values | Iterable<? extends com.google.cloud.aiplatform.v1beta1.WorkerPoolSpec> |
Type | Description |
CustomJobSpec.Builder |
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public CustomJobSpec.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
CustomJobSpec.Builder |
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];
Name | Description |
value | WorkerPoolSpec |
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];
Name | Description |
builderForValue | WorkerPoolSpec.Builder |
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];
Name | Description |
index | int |
value | WorkerPoolSpec |
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];
Name | Description |
index | int |
builderForValue | WorkerPoolSpec.Builder |
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];
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];
Name | Description |
index | int |
Type | Description |
WorkerPoolSpec.Builder |
build()
public CustomJobSpec build()
Type | Description |
CustomJobSpec |
buildPartial()
public CustomJobSpec buildPartial()
Type | Description |
CustomJobSpec |
clear()
public CustomJobSpec.Builder clear()
Type | Description |
CustomJobSpec.Builder |
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;
Type | Description |
CustomJobSpec.Builder |
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];
Type | Description |
CustomJobSpec.Builder | This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public CustomJobSpec.Builder clearField(Descriptors.FieldDescriptor field)
Name | Description |
field | FieldDescriptor |
Type | Description |
CustomJobSpec.Builder |
clearNetwork()
public CustomJobSpec.Builder clearNetwork()
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.resource_reference) = { ... }
Type | Description |
CustomJobSpec.Builder | This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public CustomJobSpec.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Name | Description |
oneof | OneofDescriptor |
Type | Description |
CustomJobSpec.Builder |
clearScheduling()
public CustomJobSpec.Builder clearScheduling()
Scheduling options for a CustomJob.
.google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;
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;
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) = { ... }
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];
Type | Description |
CustomJobSpec.Builder |
clone()
public CustomJobSpec.Builder clone()
Type | Description |
CustomJobSpec.Builder |
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;
Type | Description |
GcsDestination | The baseOutputDirectory. |
getBaseOutputDirectoryBuilder()
public GcsDestination.Builder getBaseOutputDirectoryBuilder()
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;
Type | Description |
GcsDestination.Builder |
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.v1beta1.GcsDestination base_output_directory = 6;
Type | Description |
GcsDestinationOrBuilder |
getDefaultInstanceForType()
public CustomJobSpec getDefaultInstanceForType()
Type | Description |
CustomJobSpec |
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Type | Description |
Descriptor |
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];
Type | Description |
boolean | The enableWebAccess. |
getNetwork()
public String getNetwork()
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.resource_reference) = { ... }
Type | Description |
String | The network. |
getNetworkBytes()
public ByteString getNetworkBytes()
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.resource_reference) = { ... }
Type | Description |
ByteString | The bytes for network. |
getScheduling()
public Scheduling getScheduling()
Scheduling options for a CustomJob.
.google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;
Type | Description |
Scheduling | The scheduling. |
getSchedulingBuilder()
public Scheduling.Builder getSchedulingBuilder()
Scheduling options for a CustomJob.
.google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;
Type | Description |
Scheduling.Builder |
getSchedulingOrBuilder()
public SchedulingOrBuilder getSchedulingOrBuilder()
Scheduling options for a CustomJob.
.google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;
Type | Description |
SchedulingOrBuilder |
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;
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;
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) = { ... }
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) = { ... }
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];
Name | Description |
index | int |
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];
Name | Description |
index | int |
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];
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];
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];
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];
Name | Description |
index | int |
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];
Type | Description |
List<? extends com.google.cloud.aiplatform.v1beta1.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.v1beta1.GcsDestination base_output_directory = 6;
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;
Type | Description |
boolean | Whether the scheduling field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
mergeBaseOutputDirectory(GcsDestination value)
public CustomJobSpec.Builder mergeBaseOutputDirectory(GcsDestination value)
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;
Name | Description |
value | GcsDestination |
Type | Description |
CustomJobSpec.Builder |
mergeFrom(CustomJobSpec other)
public CustomJobSpec.Builder mergeFrom(CustomJobSpec other)
Name | Description |
other | CustomJobSpec |
Type | Description |
CustomJobSpec.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public CustomJobSpec.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
CustomJobSpec.Builder |
Type | Description |
IOException |
mergeFrom(Message other)
public CustomJobSpec.Builder mergeFrom(Message other)
Name | Description |
other | Message |
Type | Description |
CustomJobSpec.Builder |
mergeScheduling(Scheduling value)
public CustomJobSpec.Builder mergeScheduling(Scheduling value)
Scheduling options for a CustomJob.
.google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;
Name | Description |
value | Scheduling |
Type | Description |
CustomJobSpec.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final CustomJobSpec.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
CustomJobSpec.Builder |
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];
Name | Description |
index | int |
Type | Description |
CustomJobSpec.Builder |
setBaseOutputDirectory(GcsDestination value)
public CustomJobSpec.Builder setBaseOutputDirectory(GcsDestination value)
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;
Name | Description |
value | GcsDestination |
Type | Description |
CustomJobSpec.Builder |
setBaseOutputDirectory(GcsDestination.Builder builderForValue)
public CustomJobSpec.Builder setBaseOutputDirectory(GcsDestination.Builder builderForValue)
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;
Name | Description |
builderForValue | GcsDestination.Builder |
Type | Description |
CustomJobSpec.Builder |
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];
Name | Description |
value | boolean The enableWebAccess to set. |
Type | Description |
CustomJobSpec.Builder | This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public CustomJobSpec.Builder setField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
CustomJobSpec.Builder |
setNetwork(String value)
public CustomJobSpec.Builder setNetwork(String value)
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.resource_reference) = { ... }
Name | Description |
value | String The network to set. |
Type | Description |
CustomJobSpec.Builder | This builder for chaining. |
setNetworkBytes(ByteString value)
public CustomJobSpec.Builder setNetworkBytes(ByteString value)
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.resource_reference) = { ... }
Name | Description |
value | ByteString The bytes for network to set. |
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)
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Type | Description |
CustomJobSpec.Builder |
setScheduling(Scheduling value)
public CustomJobSpec.Builder setScheduling(Scheduling value)
Scheduling options for a CustomJob.
.google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;
Name | Description |
value | Scheduling |
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;
Name | Description |
builderForValue | Scheduling.Builder |
Type | Description |
CustomJobSpec.Builder |
setServiceAccount(String value)
public CustomJobSpec.Builder setServiceAccount(String value)
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;
Name | Description |
value | String The serviceAccount to set. |
Type | Description |
CustomJobSpec.Builder | This builder for chaining. |
setServiceAccountBytes(ByteString value)
public CustomJobSpec.Builder setServiceAccountBytes(ByteString value)
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;
Name | Description |
value | ByteString The bytes for serviceAccount to set. |
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) = { ... }
Name | Description |
value | String The tensorboard to set. |
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) = { ... }
Name | Description |
value | ByteString The bytes for tensorboard to set. |
Type | Description |
CustomJobSpec.Builder | This builder for chaining. |
setUnknownFields(UnknownFieldSet unknownFields)
public final CustomJobSpec.Builder setUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
CustomJobSpec.Builder |
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];
Name | Description |
index | int |
value | WorkerPoolSpec |
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];
Name | Description |
index | int |
builderForValue | WorkerPoolSpec.Builder |
Type | Description |
CustomJobSpec.Builder |