2.0.0b53

RunPolicy

Package: flyteplugins.pytorch.task

RunPolicy describes some policy to apply to the execution of a kubeflow job.

            
        
class RunPolicy(
    clean_pod_policy: typing.Optional[typing.Literal['None', 'all', 'Running']],
    ttl_seconds_after_finished: typing.Optional[int],
    active_deadline_seconds: typing.Optional[int],
    backoff_limit: typing.Optional[int],
)

Parameter	Type	Description
`clean_pod_policy`	`typing.Optional[typing.Literal['None', 'all', 'Running']]`	Policy for cleaning up pods after the PyTorchJob completes. Allowed values are “None”, “all”, or “Running”. Defaults to None.
`ttl_seconds_after_finished`	`typing.Optional[int]`	Defines the TTL (in seconds) for cleaning up finished PyTorchJobs. Defaults to None.
`active_deadline_seconds`	`typing.Optional[int]`	Specifies the duration (in seconds) since startTime during which the job can remain active before it is terminated. Must be a positive integer. Applies only to pods where restartPolicy is OnFailure or Always. Defaults to None.
`backoff_limit`	`typing.Optional[int]`	Number of retries before marking this job as failed. Defaults to None.