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public sealed class CustomJobSpec : IMessage<CustomJobSpec>, IEquatable<CustomJobSpec>, IDeepCloneable<CustomJobSpec>, IBufferMessage, IMessageRepresents the spec of a CustomJob.
Implements
IMessage<CustomJobSpec>, IEquatable<CustomJobSpec>, IDeepCloneable<CustomJobSpec>, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Assembly
Google.Cloud.AIPlatform.V1.dll
Constructors
CustomJobSpec()
public CustomJobSpec()CustomJobSpec(CustomJobSpec)
public CustomJobSpec(CustomJobSpec other)| Parameter | |
|---|---|
| Name | Description |
other |
CustomJobSpec |
Properties
BaseOutputDirectory
public GcsDestination BaseOutputDirectory { get; set; }The Cloud Storage location to store the output of this CustomJob or HyperparameterTuningJob. For HyperparameterTuningJob, the baseOutputDirectory of each child CustomJob backing a Trial is set to a subdirectory of name [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's baseOutputDirectory.
The following Vertex AI environment variables will be passed to containers or python modules when this field is set:
For CustomJob:
- AIP_MODEL_DIR =
<base_output_directory>/model/ - AIP_CHECKPOINT_DIR =
<base_output_directory>/checkpoints/ - AIP_TENSORBOARD_LOG_DIR =
<base_output_directory>/logs/
For CustomJob backing a Trial of HyperparameterTuningJob:
- AIP_MODEL_DIR =
<base_output_directory>/<trial_id>/model/ - AIP_CHECKPOINT_DIR =
<base_output_directory>/<trial_id>/checkpoints/ - AIP_TENSORBOARD_LOG_DIR =
<base_output_directory>/<trial_id>/logs/
| Property Value | |
|---|---|
| Type | Description |
GcsDestination |
|
EnableWebAccess
public bool EnableWebAccess { get; set; }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][google.cloud.aiplatform.v1.CustomJob.web_access_uris] or [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris] (within
[HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
| Property Value | |
|---|---|
| Type | Description |
Boolean |
|
Network
public string Network { get; set; }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.
Private services access must already be configured for the network. If left unspecified, the job is not peered with any network.
| Property Value | |
|---|---|
| Type | Description |
String |
|
NetworkAsNetworkName
public NetworkName NetworkAsNetworkName { get; set; }NetworkName-typed view over the Network resource name property.
| Property Value | |
|---|---|
| Type | Description |
NetworkName |
|
Scheduling
public Scheduling Scheduling { get; set; }Scheduling options for a CustomJob.
| Property Value | |
|---|---|
| Type | Description |
Scheduling |
|
ServiceAccount
public string ServiceAccount { get; set; }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.
| Property Value | |
|---|---|
| Type | Description |
String |
|
Tensorboard
public string Tensorboard { get; set; }Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which this CustomJob
will upload Tensorboard logs.
Format:
projects/{project}/locations/{location}/tensorboards/{tensorboard}
| Property Value | |
|---|---|
| Type | Description |
String |
|
TensorboardAsTensorboardName
public TensorboardName TensorboardAsTensorboardName { get; set; }TensorboardName-typed view over the Tensorboard resource name property.
| Property Value | |
|---|---|
| Type | Description |
TensorboardName |
|
WorkerPoolSpecs
public RepeatedField<WorkerPoolSpec> WorkerPoolSpecs { get; }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.
| Property Value | |
|---|---|
| Type | Description |
RepeatedField<WorkerPoolSpec> |
|