kubeflow 创建tensorflow过程

Kubeflow有三个核心组件

TFJob Operator 和 Controller：

作为Kubernetes的扩展，来简化分布式TensorFlow工作负载的部署。通过Operator，Kubeflow能够自动化的配置 master服务器，工作服务器和参数化服务器配置。 TFJob可用来部署工作负载。

$ kubectl describe deploy tf-job-operator-v1alpha2 -n kubeflow
Name:                   tf-job-operator-v1alpha2
Namespace:              kubeflow
CreationTimestamp:      Mon, 03 Dec 2018 12:51:55 +0000
Labels:                 app.kubernetes.io/deploy-manager=ksonnet
                        ksonnet.io/component=tf-job-operator
Annotations:            deployment.kubernetes.io/revision: 1
                        ksonnet.io/managed:
                          {"pristine":"H4sIAAAAAAAA/5yRTY8TMQyG7/wMn+djB24jcajY5dalAgkJrarKk3q6oUkcJZ4BtMp/R95+IdFy4ObE9vO+tl8Ao/1KKVsO0AP9FAoa53buBhLsoIK9DVvo4Z6i4...
Selector:               name=tf-job-operator
Replicas:               1 desired | 1 updated | 1 total | 0 available | 1 unavailable
StrategyType:           RollingUpdate
MinReadySeconds:        0
RollingUpdateStrategy:  1 max unavailable, 1 max surge
Pod Template:
  Labels:           name=tf-job-operator
  Service Account:  tf-job-operator
  Containers:
   tf-job-operator:
    Image:      gcr.io/kubeflow-images-public/tf_operator:v0.3.0
    Port:       <none>
    Host Port:  <none>
    Command:
      /opt/kubeflow/tf-operator.v2
      --alsologtostderr
      -v=1
    Environment:
      MY_POD_NAMESPACE:   (v1:metadata.namespace)
      MY_POD_NAME:        (v1:metadata.name)
    Mounts:
      /etc/config from config-volume (rw)
  Volumes:
   config-volume:
    Type:      ConfigMap (a volume populated by a ConfigMap)
    Name:      tf-job-operator-config
    Optional:  false
Conditions:
  Type           Status  Reason
  ----           ------  ------
  Available      True    MinimumReplicasAvailable
OldReplicaSets:  <none>
NewReplicaSet:   tf-job-operator-v1alpha2-644c5f7db7 (1/1 replicas created)
Events:          <none>

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