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CustomJobSpec
(
mapping
=
None
,
*
,
ignore_unknown_fields
=
False
,
**
kwargs
)
Represents the spec of a CustomJob. Next Id: 14
Attributes
| Name | Description |
| worker_pool_specs | Sequence[ google.cloud.aiplatform_v1beta1.types.WorkerPoolSpec
]
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. |
| scheduling | google.cloud.aiplatform_v1beta1.types.Scheduling
Scheduling options for a CustomJob. |
| service_account | str
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 |
| network | str
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 |
| base_output_directory | google.cloud.aiplatform_v1beta1.types.GcsDestination
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 = `` |
| tensorboard | str
Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: ``projects/{project}/locations/{location}/tensorboards/{tensorboard}`` |
| enable_web_access | bool
Optional. Whether you want Vertex AI to enable `interactive shell access |
