TFJob TensorFlow
Reference documentation for TFJob
Packages:
kubeflow.org
Package v1beta2 is the v1beta2 version of the API.
Resource Types:
TFJob
TFJob represents the configuration of signal TFJob
Field | Description | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
apiVersion string | kubeflow.org/v1beta2 | ||||||||||
kind string | TFJob | ||||||||||
metadata Kubernetes meta/v1.ObjectMeta | Standard object’s metadata.Refer to the Kubernetes API documentation for the fields of themetadata field. | ||||||||||
spec TFJobSpec | Specification of the desired behavior of the TFJob.
| ||||||||||
status common/v1beta2.JobStatus | Most recently observed status of the TFJob.This data may not be up to date.Populated by the system.Read-only. |
TFJobSpec
(Appears on:TFJob)
TFJobSpec is a desired state description of the TFJob.
Field | Description |
---|---|
activeDeadlineSeconds int64 | (Optional)Specifies the duration in seconds relative to the startTime that the job may be activebefore the system tries to terminate it; value must be positive integer.This method applies only to pods with restartPolicy == OnFailure or Always. |
backoffLimit int32 | (Optional)Optional number of retries before marking this job failed. |
cleanPodPolicy common/v1beta2.CleanPodPolicy | CleanPodPolicy defines the policy to kill pods after TFJob issucceeded.Default to Running. |
ttlSecondsAfterFinished int32 | TTLSecondsAfterFinished is the TTL to clean up tf-jobs (temporarybefore kubernetes adds the cleanup controller).It may take extra ReconcilePeriod seconds for the cleanup, sincereconcile gets called periodically.Default to infinite. |
tfReplicaSpecs map[github.com/kubeflow/tf-operator/pkg/apis/tensorflow/v1beta2.TFReplicaType]*github.com/kubeflow/tf-operator/pkg/apis/common/v1beta2.ReplicaSpec | TFReplicaSpecs is map of TFReplicaType and ReplicaSpecspecifies the TF replicas to run.For example,{“PS”: ReplicaSpec,“Worker”: ReplicaSpec,} |
TFReplicaType(string alias)
TFReplicaType is the type for TFReplica.
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Last modified 17.06.2019: update tfjob, pytorchjob ref scripts, style tables (#805) (affc79c5)