Class PersistentResourceRuntimeDetail (1.89.0)

PersistentResourceRuntimeDetail(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Persistent resource based runtime detail. For more information, refer to https://cloud.google.com/vertex-ai/docs/training/persistent-resource-overview

Attributes

Name Description
persistent_resource_name str
Persistent resource name. Format: projects/{project}/locations/{location}/persistentResources/{persistent_resource}
task_resource_unavailable_wait_time_ms int
The max time a pipeline task waits for the required CPU, memory, or accelerator resource to become available from the specified persistent resource. Default wait time is 0.
task_resource_unavailable_timeout_behavior google.cloud.aiplatform_v1beta1.types.PipelineJob.RuntimeConfig.PersistentResourceRuntimeDetail.TaskResourceUnavailableTimeoutBehavior
Specifies the behavior to take if the timeout is reached.

Classes

TaskResourceUnavailableTimeoutBehavior

TaskResourceUnavailableTimeoutBehavior(value)

An enum that specifies the behavior to take if the timeout is reached.

Methods

PersistentResourceRuntimeDetail

PersistentResourceRuntimeDetail(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Persistent resource based runtime detail. For more information, refer to https://cloud.google.com/vertex-ai/docs/training/persistent-resource-overview