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CustomJobSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Represents the spec of a CustomJob. .. attribute:: worker_pool_specs
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.
:type: Sequence[google.cloud.aiplatform_v1beta1.types.WorkerPoolSpec]
Attributes
Name | Description |
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 `AI Platform 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. Private services access must already be configured for the network. If left unspecified, the job is not peered with any network. |
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}`` |