PyTorchJob
Reference documentation for PyTorchJob
Packages:
kubeflow.org
Package v1 is the v1 version of the API.
Resource Types:
PyTorchJob
Represents a PyTorchJob resource.
Field | Description | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
apiVersion string | kubeflow.org/v1 | ||||||||||
kind string | PyTorchJob | ||||||||||
metadata Kubernetes meta/v1.ObjectMeta | Standard Kubernetes object’s metadata.Refer to the Kubernetes API documentation for the fields of themetadata field. | ||||||||||
spec PyTorchJobSpec | Specification of the desired state of the PyTorchJob.
| ||||||||||
status common/v1.JobStatus | Most recently observed status of the PyTorchJob.Read-only (modified by the system). |
PyTorchJobSpec
(Appears on:PyTorchJob)
PyTorchJobSpec is a desired state description of the PyTorchJob.
Field | Description |
---|---|
activeDeadlineSeconds int64 | (Optional)Specifies the duration (in seconds) since startTime during which the job can remain activebefore it is terminated. Must be a positive integer.This setting applies only to pods where restartPolicy is OnFailure or Always. |
backoffLimit int32 | (Optional)Number of retries before marking this job as failed. |
cleanPodPolicy common/v1.CleanPodPolicy | Defines the policy for cleaning up pods after the PyTorchJob completes.Defaults to Running. |
ttlSecondsAfterFinished int32 | Defines the TTL for cleaning up finished PyTorchJobs (temporarybefore Kubernetes adds the cleanup controller).It may take extra ReconcilePeriod seconds for the cleanup, sincereconcile gets called periodically.Defaults to infinite. |
pytorchReplicaSpecs map[github.com/kubeflow/pytorch-operator/pkg/apis/pytorch/v1.PyTorchReplicaType]*github.com/kubeflow/tf-operator/pkg/apis/common/v1.ReplicaSpec | A map of PyTorchReplicaType (type) to ReplicaSpec (value). Specifies the PyTorch cluster configuration.For example,{“Master”: PyTorchReplicaSpec,“Worker”: PyTorchReplicaSpec,} |
PyTorchReplicaType(string alias)
PyTorchReplicaType is the type for PyTorchReplica. Can be one of “Master” or “Worker”.
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Last modified 17.06.2019: update tfjob, pytorchjob ref scripts, style tables (#805) (affc79c5)