kubeflow.org_v1_generated.asciidoc

API Reference

Packages

• kubeflow.org/v1

kubeflow.org/v1

Package v1 is the v1 version of the API.

Package v1 contains API Schema definitions for the kubeflow.org v1 API group

Resource Types

• MPIJob

• MPIJobList

• MXJob

• MXJobList

• PaddleJob

• PaddleJobList

• PyTorchJob

• PyTorchJobList

• TFJob

• TFJobList

• XGBoostJob

• XGBoostJobList

Definitions

ElasticPolicy

Appears In:

• PyTorchJobSpec

Field	Description
minReplicas integer	minReplicas is the lower limit for the number of replicas to which the training job can scale down. It defaults to null.
maxReplicas integer	upper limit for the number of pods that can be set by the autoscaler; cannot be smaller than MinReplicas, defaults to null.
rdzvBackend RDZVBackend
rdzvPort integer
rdzvHost string
rdzvId string
rdzvConf RDZVConf array	RDZVConf contains additional rendezvous configuration (<key1>=<value1>,<key2>=<value2>,…​).
standalone boolean	Start a local standalone rendezvous backend that is represented by a C10d TCP store on port 29400. Useful when launching single-node, multi-worker job. If specified --rdzv_backend, --rdzv_endpoint, --rdzv_id are auto-assigned; any explicitly set values are ignored.
nProcPerNode integer	Number of workers per node; supported values: [auto, cpu, gpu, int].
maxRestarts integer
metrics MetricSpec array	Metrics contains the specifications which are used to calculate the desired replica count (the maximum replica count across all metrics will be used). The desired replica count is calculated with multiplying the ratio between the target value and the current value by the current number of pods. Ergo, metrics used must decrease as the pod count is increased, and vice-versa. See the individual metric source types for more information about how each type of metric must respond. If not set, the HPA will not be created.

JobModeType (string)

JobModeType id the type for JobMode

Appears In:

• MXJobSpec

MPIJob

Appears In:

• MPIJobList

Field	Description
apiVersion string	kubeflow.org/v1
kind string	MPIJob
TypeMeta TypeMeta
metadata ObjectMeta	Refer to Kubernetes API documentation for fields of metadata.
spec MPIJobSpec
status JobStatus

MPIJobList

Field	Description
apiVersion string	kubeflow.org/v1
kind string	MPIJobList
TypeMeta TypeMeta
metadata ListMeta	Refer to Kubernetes API documentation for fields of metadata.
items MPIJob array

MPIJobSpec

Appears In:

• MPIJob

Field	Description
slotsPerWorker integer	Specifies the number of slots per worker used in hostfile. Defaults to 1.
cleanPodPolicy CleanPodPolicy	CleanPodPolicy defines the policy that whether to kill pods after the job completes. Defaults to None.
mpiReplicaSpecs object (keys:ReplicaType, values:ReplicaSpec)	MPIReplicaSpecs contains maps from MPIReplicaType to ReplicaSpec that specify the MPI replicas to run.
mainContainer string	MainContainer specifies name of the main container which executes the MPI code.
runPolicy RunPolicy	RunPolicy encapsulates various runtime policies of the distributed training job, for example how to clean up resources and how long the job can stay active.

MXJob

MXJob is the Schema for the mxjobs API

Appears In:

• MXJobList

Field	Description
apiVersion string	kubeflow.org/v1
kind string	MXJob
TypeMeta TypeMeta
metadata ObjectMeta	Refer to Kubernetes API documentation for fields of metadata.
spec MXJobSpec
status JobStatus

MXJobList

MXJobList contains a list of MXJob

Field	Description
apiVersion string	kubeflow.org/v1
kind string	MXJobList
TypeMeta TypeMeta
metadata ListMeta	Refer to Kubernetes API documentation for fields of metadata.
items MXJob array

MXJobSpec

MXJobSpec defines the desired state of MXJob

Appears In:

• MXJob

Field	Description
runPolicy RunPolicy	RunPolicy encapsulates various runtime policies of the distributed training job, for example how to clean up resources and how long the job can stay active.
jobMode JobModeType	JobMode specify the kind of MXjob to do. Different mode may have different MXReplicaSpecs request
mxReplicaSpecs object (keys:ReplicaType, values:ReplicaSpec)	MXReplicaSpecs is map of commonv1.ReplicaType and commonv1.ReplicaSpec specifies the MX replicas to run. For example, { "Scheduler": commonv1.ReplicaSpec, "Server": commonv1.ReplicaSpec, "Worker": commonv1.ReplicaSpec, }

PaddleElasticPolicy

Appears In:

• PaddleJobSpec

Field	Description
minReplicas integer	minReplicas is the lower limit for the number of replicas to which the training job can scale down. It defaults to null.
maxReplicas integer	upper limit for the number of pods that can be set by the autoscaler; cannot be smaller than MinReplicas, defaults to null.
maxRestarts integer	MaxRestarts is the limit for restart times of pods in elastic mode.
metrics MetricSpec array	Metrics contains the specifications which are used to calculate the desired replica count (the maximum replica count across all metrics will be used). The desired replica count is calculated with multiplying the ratio between the target value and the current value by the current number of pods. Ergo, metrics used must decrease as the pod count is increased, and vice-versa. See the individual metric source types for more information about how each type of metric must respond. If not set, the HPA will not be created.

PaddleJob

PaddleJob Represents a PaddleJob resource.

Appears In:

• PaddleJobList

Field	Description
apiVersion string	kubeflow.org/v1
kind string	PaddleJob
TypeMeta TypeMeta	Standard Kubernetes type metadata.
metadata ObjectMeta	Refer to Kubernetes API documentation for fields of metadata.
spec PaddleJobSpec	Specification of the desired state of the PaddleJob.
status JobStatus	Most recently observed status of the PaddleJob. Read-only (modified by the system).

PaddleJobList

PaddleJobList is a list of PaddleJobs.

Field	Description
apiVersion string	kubeflow.org/v1
kind string	PaddleJobList
TypeMeta TypeMeta	Standard type metadata.
metadata ListMeta	Refer to Kubernetes API documentation for fields of metadata.
items PaddleJob array	List of PaddleJobs.

PaddleJobSpec

PaddleJobSpec is a desired state description of the PaddleJob.

Appears In:

• PaddleJob

Field	Description
runPolicy RunPolicy	RunPolicy encapsulates various runtime policies of the distributed training job, for example how to clean up resources and how long the job can stay active.
elasticPolicy PaddleElasticPolicy	ElasticPolicy holds the elastic policy for paddle job.
paddleReplicaSpecs object (keys:ReplicaType, values:ReplicaSpec)	A map of PaddleReplicaType (type) to ReplicaSpec (value). Specifies the Paddle cluster configuration. For example, { "Master": PaddleReplicaSpec, "Worker": PaddleReplicaSpec, }

PyTorchJob

PyTorchJob Represents a PyTorchJob resource.

Appears In:

• PyTorchJobList

Field	Description
apiVersion string	kubeflow.org/v1
kind string	PyTorchJob
TypeMeta TypeMeta	Standard Kubernetes type metadata.
metadata ObjectMeta	Refer to Kubernetes API documentation for fields of metadata.
spec PyTorchJobSpec	Specification of the desired state of the PyTorchJob.
status JobStatus	Most recently observed status of the PyTorchJob. Read-only (modified by the system).

PyTorchJobList

PyTorchJobList is a list of PyTorchJobs.

Field	Description
apiVersion string	kubeflow.org/v1
kind string	PyTorchJobList
TypeMeta TypeMeta	Standard type metadata.
metadata ListMeta	Refer to Kubernetes API documentation for fields of metadata.
items PyTorchJob array	List of PyTorchJobs.

PyTorchJobSpec

PyTorchJobSpec is a desired state description of the PyTorchJob.

Appears In:

• PyTorchJob

Field	Description
runPolicy RunPolicy	RunPolicy encapsulates various runtime policies of the distributed training job, for example how to clean up resources and how long the job can stay active.
elasticPolicy ElasticPolicy
pytorchReplicaSpecs object (keys:ReplicaType, values:ReplicaSpec)	A map of PyTorchReplicaType (type) to ReplicaSpec (value). Specifies the PyTorch cluster configuration. For example, { "Master": PyTorchReplicaSpec, "Worker": PyTorchReplicaSpec, }

RDZVBackend (string)

Appears In:

• ElasticPolicy

RDZVConf

Appears In:

• ElasticPolicy

Field	Description
key string
value string

SuccessPolicy (string)

SuccessPolicy is the success policy.

Appears In:

• TFJobSpec

TFJob

TFJob represents a TFJob resource.

Appears In:

• TFJobList

Field	Description
apiVersion string	kubeflow.org/v1
kind string	TFJob
TypeMeta TypeMeta	Standard Kubernetes type metadata.
metadata ObjectMeta	Refer to Kubernetes API documentation for fields of metadata.
spec TFJobSpec	Specification of the desired state of the TFJob.
status JobStatus	Most recently observed status of the TFJob. Populated by the system. Read-only.

TFJobList

TFJobList is a list of TFJobs.

Field	Description
apiVersion string	kubeflow.org/v1
kind string	TFJobList
TypeMeta TypeMeta	Standard type metadata.
metadata ListMeta	Refer to Kubernetes API documentation for fields of metadata.
items TFJob array	List of TFJobs.

TFJobSpec

TFJobSpec is a desired state description of the TFJob.

Appears In:

• TFJob

Field	Description
runPolicy RunPolicy	RunPolicy encapsulates various runtime policies of the distributed training job, for example how to clean up resources and how long the job can stay active.
successPolicy SuccessPolicy	SuccessPolicy defines the policy to mark the TFJob as succeeded. Default to "", using the default rules.
tfReplicaSpecs object (keys:ReplicaType, values:ReplicaSpec)	A map of TFReplicaType (type) to ReplicaSpec (value). Specifies the TF cluster configuration. For example, { "PS": ReplicaSpec, "Worker": ReplicaSpec, }
enableDynamicWorker boolean	A switch to enable dynamic worker

XGBoostJob

XGBoostJob is the Schema for the xgboostjobs API

Appears In:

• XGBoostJobList

Field	Description
apiVersion string	kubeflow.org/v1
kind string	XGBoostJob
TypeMeta TypeMeta
metadata ObjectMeta	Refer to Kubernetes API documentation for fields of metadata.
spec XGBoostJobSpec
status JobStatus

XGBoostJobList

XGBoostJobList contains a list of XGBoostJob

Field	Description
apiVersion string	kubeflow.org/v1
kind string	XGBoostJobList
TypeMeta TypeMeta
metadata ListMeta	Refer to Kubernetes API documentation for fields of metadata.
items XGBoostJob array

XGBoostJobSpec

XGBoostJobSpec defines the desired state of XGBoostJob

Appears In:

• XGBoostJob

Field	Description
runPolicy RunPolicy	INSERT ADDITIONAL SPEC FIELDS - desired state of cluster Important: Run "make" to regenerate code after modifying this file
xgbReplicaSpecs object (keys:ReplicaType, values:ReplicaSpec)