tensorflow

Documentation

Overview

Package controller provides a Kubernetes controller for a TFJob resource.

Index

• Constants
• func ContainsChiefOrMasterSpec(replicas map[kubeflowv1.ReplicaType]*kubeflowv1.ReplicaSpec) bool
• func GetPortFromTFJob(tfJob *kubeflowv1.TFJob, rtype kubeflowv1.ReplicaType) (int32, error)
• type ClusterSpec
• type SparseClusterSpec
• type SparseTFConfig
• type TFConfig
• type TFJobReconciler
  • func NewReconciler(mgr manager.Manager, gangSchedulingSetupFunc common.GangSchedulingSetupFunc) *TFJobReconciler
  • func (r *TFJobReconciler) ControllerName() string
  • func (r *TFJobReconciler) DeleteJob(job interface{}) error
  • func (r *TFJobReconciler) GetAPIGroupVersion() schema.GroupVersion
  • func (r *TFJobReconciler) GetAPIGroupVersionKind() schema.GroupVersionKind
  • func (r *TFJobReconciler) GetDefaultContainerName() string
  • func (r *TFJobReconciler) GetDefaultContainerPortName() string
  • func (r *TFJobReconciler) GetFrameworkName() string
  • func (r *TFJobReconciler) GetGroupNameLabelValue() string
  • func (r *TFJobReconciler) GetJobFromAPIClient(namespace, name string) (metav1.Object, error)
  • func (r *TFJobReconciler) GetJobFromInformerCache(namespace, name string) (metav1.Object, error)
  • func (r *TFJobReconciler) GetPodsForJob(jobObject interface{}) ([]*corev1.Pod, error)
  • func (r *TFJobReconciler) GetServicesForJob(jobObject interface{}) ([]*corev1.Service, error)
  • func (r *TFJobReconciler) IsMasterRole(replicas map[kubeflowv1.ReplicaType]*kubeflowv1.ReplicaSpec, ...) bool
  • func (r *TFJobReconciler) IsWorker0Completed(tfJob *kubeflowv1.TFJob, ...) (bool, error)
  • func (r *TFJobReconciler) Reconcile(ctx context.Context, req ctrl.Request) (ctrl.Result, error)
  • func (r *TFJobReconciler) SetClusterSpec(job interface{}, podTemplate *corev1.PodTemplateSpec, rtype, index string) error
  • func (r *TFJobReconciler) SetupWithManager(mgr ctrl.Manager, controllerThreads int) error
  • func (r *TFJobReconciler) UpdateJobStatus(job interface{}, replicas map[kubeflowv1.ReplicaType]*kubeflowv1.ReplicaSpec, ...) error
  • func (r *TFJobReconciler) UpdateJobStatusInApiServer(job interface{}, jobStatus *kubeflowv1.JobStatus) error
• type TaskSpec

Constants

const (
	FailedDeleteJobReason     = "FailedDeleteJob"
	SuccessfulDeleteJobReason = "SuccessfulDeleteJob"
)

const (
	// EnvCustomClusterDomain is the custom defined cluster domain, such as "svc.cluster.local".
	// Ref: https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#a-records
	EnvCustomClusterDomain = "CUSTOM_CLUSTER_DOMAIN"
)

Functions

func ContainsChiefOrMasterSpec

func ContainsChiefOrMasterSpec(replicas map[kubeflowv1.ReplicaType]*kubeflowv1.ReplicaSpec) bool

ContainsChiefOrMasterSpec returns true if the tfjob contains chief or master spec.

func GetPortFromTFJob

func GetPortFromTFJob(tfJob *kubeflowv1.TFJob, rtype kubeflowv1.ReplicaType) (int32, error)

GetPortFromTFJob gets the port of tensorflow container.

Types

type ClusterSpec

type ClusterSpec map[string][]string

ClusterSpec represents a cluster TensorFlow specification. https://www.tensorflow.org/deploy/distributed#create_a_tftrainclusterspec_to_describe_the_cluster It is a map from job names to network addresses.

type SparseClusterSpec

type SparseClusterSpec struct {
	Worker map[int32]string `json:"worker"`
	PS     []string         `json:"ps"`
}

SparseClusterSpec enables a server to be configured without needing to know the identity of (for example) all other worker tasks. https://www.tensorflow.org/api_docs/python/tf/train/ClusterSpec

type SparseTFConfig

type SparseTFConfig struct {
	Cluster SparseClusterSpec `json:"cluster"`
	Task    TaskSpec          `json:"task"`
}

type TFConfig

type TFConfig struct {
	// Cluster represents a TensorFlow ClusterSpec.
	// See: https://www.tensorflow.org/api_docs/python/tf/train/ClusterSpec
	Cluster ClusterSpec `json:"cluster"`
	Task    TaskSpec    `json:"task"`
	// Environment is used by tensorflow.contrib.learn.python.learn in versions <= 1.3
	// TODO(jlewi): I don't think it is used in versions TF >- 1.4. So we can eventually get rid of it.
	Environment string `json:"environment"`
}

TFConfig is a struct representing the distributed TensorFlow config. This struct is turned into an environment variable TF_CONFIG which is used by TensorFlow processes to configure themselves. https://www.tensorflow.org/api_docs/python/tf/estimator/RunConfig#methods https://cloud.google.com/ml-engine/docs/tensorflow/distributed-training-details

type TFJobReconciler

type TFJobReconciler struct {
	common.JobController
	client.Client
	Scheme *runtime.Scheme

	Log logr.Logger
	// contains filtered or unexported fields
}

TFJobReconciler reconciles a TFJob object

func NewReconciler

func NewReconciler(mgr manager.Manager, gangSchedulingSetupFunc common.GangSchedulingSetupFunc) *TFJobReconciler

func (*TFJobReconciler) ControllerName

func (r *TFJobReconciler) ControllerName() string

func (*TFJobReconciler) DeleteJob

func (r *TFJobReconciler) DeleteJob(job interface{}) error

func (*TFJobReconciler) GetAPIGroupVersion

func (r *TFJobReconciler) GetAPIGroupVersion() schema.GroupVersion

func (*TFJobReconciler) GetAPIGroupVersionKind

func (r *TFJobReconciler) GetAPIGroupVersionKind() schema.GroupVersionKind

func (*TFJobReconciler) GetDefaultContainerName

func (r *TFJobReconciler) GetDefaultContainerName() string

func (*TFJobReconciler) GetDefaultContainerPortName

func (r *TFJobReconciler) GetDefaultContainerPortName() string

func (*TFJobReconciler) GetFrameworkName

func (r *TFJobReconciler) GetFrameworkName() string

func (*TFJobReconciler) GetGroupNameLabelValue

func (r *TFJobReconciler) GetGroupNameLabelValue() string

func (*TFJobReconciler) GetJobFromAPIClient

func (r *TFJobReconciler) GetJobFromAPIClient(namespace, name string) (metav1.Object, error)

func (*TFJobReconciler) GetJobFromInformerCache

func (r *TFJobReconciler) GetJobFromInformerCache(namespace, name string) (metav1.Object, error)

func (*TFJobReconciler) GetPodsForJob

func (r *TFJobReconciler) GetPodsForJob(jobObject interface{}) ([]*corev1.Pod, error)

GetPodsForJob returns the set of pods that this job should manage. It also reconciles ControllerRef by adopting/orphaning. Note that the returned Pods are pointers into the cache.

func (*TFJobReconciler) GetServicesForJob

func (r *TFJobReconciler) GetServicesForJob(jobObject interface{}) ([]*corev1.Service, error)

GetServicesForJob returns the set of services that this job should manage. It also reconciles ControllerRef by adopting/orphaning. Note that the returned services are pointers into the cache.

func (*TFJobReconciler) IsMasterRole

func (r *TFJobReconciler) IsMasterRole(replicas map[kubeflowv1.ReplicaType]*kubeflowv1.ReplicaSpec,
	rtype kubeflowv1.ReplicaType, index int) bool

func (*TFJobReconciler) IsWorker0Completed

func (r *TFJobReconciler) IsWorker0Completed(tfJob *kubeflowv1.TFJob, replicas map[kubeflowv1.ReplicaType]*kubeflowv1.ReplicaSpec) (bool, error)

IsWorker0Completed returns true if pod of worker0 succeeded and exited with 0

func (*TFJobReconciler) Reconcile

func (r *TFJobReconciler) Reconcile(ctx context.Context, req ctrl.Request) (ctrl.Result, error)

Reconcile is part of the main kubernetes reconciliation loop which aims to move the current state of the cluster closer to the desired state.

func (*TFJobReconciler) SetClusterSpec

func (r *TFJobReconciler) SetClusterSpec(job interface{}, podTemplate *corev1.PodTemplateSpec, rtype, index string) error

Same as Func (tc *TFController) SetClusterSpec(...) in pod.go

func (*TFJobReconciler) SetupWithManager

func (r *TFJobReconciler) SetupWithManager(mgr ctrl.Manager, controllerThreads int) error

SetupWithManager sets up the controller with the Manager.

func (*TFJobReconciler) UpdateJobStatus

func (r *TFJobReconciler) UpdateJobStatus(job interface{}, replicas map[kubeflowv1.ReplicaType]*kubeflowv1.ReplicaSpec, jobStatus *kubeflowv1.JobStatus) error

func (*TFJobReconciler) UpdateJobStatusInApiServer

func (r *TFJobReconciler) UpdateJobStatusInApiServer(job interface{}, jobStatus *kubeflowv1.JobStatus) error

type TaskSpec

type TaskSpec struct {
	Type  string `json:"type"`
	Index int    `json:"index"`
}

TaskSpec is the specification for a task (PS or worker) of the TFJob.