debugging an example of kubeflow pipeline

createPV.yaml

kind: PersistentVolume
apiVersion: v1
metadata:
  name: mypv
  namespace: kubeflow
  labels:
    type: local
spec:
  storageClassName: sata
  capacity:
    storage: 10Gi
  accessModes:
    - ReadWriteMany
  hostPath:
    path: "/mypv"

createPVC.yaml

kind: PersistentVolumeClaim
apiVersion: v1
metadata:
    name: mypvc
    namespace: kubeflow
spec:
    accessModes:
    - ReadWriteMany
    resources:
        requests:
            storage: 3Gi
    storageClassName: sata

tf_job_mnist.yaml

apiVersion: "kubeflow.org/v1"
kind: "TFJob"
metadata:
  name: "mnist"
  namespace: kubeflow
spec:
  cleanPodPolicy: None
  tfReplicaSpecs:
    Worker:
      replicas: 1
      restartPolicy: Never
      template:
        spec:
          containers:
            - name: tensorflow
              image: gcr.io/kubeflow-ci/tf-mnist-with-summaries:1.0
              command:
                - "python"
                - "/var/tf_mnist/mnist_with_summaries.py"
                - "--log_dir=/train"
                - "--learning_rate=0.01"
                - "--batch_size=150"
              volumeMounts:
                - mountPath: "/mypv"
                  name: "mypv"
          volumes:
            - name: "mypv"
              persistentVolumeClaim:
                claimName: "mypvc"