未能将对象封送到TFJob；规范无效：未能将对象封送到TFJob

Question

我对kubernetes和tensorflow都比较陌生，尝试从这个链接（https://github.com/learnk8s/distributed-tensorflow-on-k8s）运行基本的kubeflow分布式tensorflow示例。我目前运行的是本地裸机kubernetes集群，有2个节点（1个主节点和1个工作节点）。当我在minikube中运行它时，一切都很好（遵循文档），无论是训练还是服务运行都很成功。但是在本地集群上运行作业会给我带来这个错误！在

任何帮助都将不胜感激。在

对于这个设置，我为nfs存储创建了一个pod，它将由作业使用。因为本地集群没有启用动态配置，所以我手动创建了持久卷（使用的文件是附加的）。在

Nfs机架存储文件：

kind: Service
apiVersion: v1
metadata:
  name: nfs-service
spec:
  selector:
    role: nfs-service
  ports:
    # Open the ports required by the NFS server
    - name: nfs
      port: 2049
    - name: mountd
      port: 20048
    - name: rpcbind
      port: 111
---

kind: Pod
apiVersion: v1
metadata:
  name: nfs-server-pod
  labels:
    role: nfs-service
spec:
  containers:
    - name: nfs-server-container
      image: cpuguy83/nfs-server
      securityContext:
        privileged: true
      args:
        # Pass the paths to share to the Docker image
        - /exports

永久卷和PVC文件：

^{pr2}$

TFJob文件：

apiVersion: kubeflow.org/v1beta1
kind: TFJob
metadata:
  name: tfjob1
spec:
  replicaSpecs:
    - replicas: 1
      tfReplicaType: MASTER
      template:
        spec:
          volumes:
            - name: nfs-volume
              persistentVolumeClaim:
                claimName: nfs
          containers:
            - name: tensorflow
              image: learnk8s/mnist:1.0.0
              imagePullPolicy: IfNotPresent
              args:
                - --model_dir
                - ./out/vars
                - --export_dir
                - ./out/models
              volumeMounts:
                - mountPath: /app/out
                  name: nfs-volume
          restartPolicy: OnFailure
    - replicas: 2
      tfReplicaType: WORKER
      template:
        spec:
          containers:
            - name: tensorflow
              image: learnk8s/mnist:1.0.0
              imagePullPolicy: IfNotPresent
          restartPolicy: OnFailure
              args:
                - --model_dir
                - ./out/vars
                - --export_dir
                - ./out/models
              volumeMounts:
                - mountPath: /app/out
                  name: nfs-volume
          restartPolicy: OnFailure
    - replicas: 2
      tfReplicaType: WORKER
      template:
        spec:
          containers:
            - name: tensorflow
              image: learnk8s/mnist:1.0.0
              imagePullPolicy: IfNotPresent
          restartPolicy: OnFailure
    - replicas: 1
      tfReplicaType: PS
      template:
        spec:
          volumes:
            - name: nfs-volume
              persistentVolumeClaim:
                claimName: nfs
          containers:
            - name: tensorflow
              image: learnk8s/mnist:1.0.0
              imagePullPolicy: IfNotPresent
              volumeMounts:
                - mountPath: /app/out
                  name: nfs-volume
          restartPolicy: OnFailure

当我运行作业时，它会给我这个错误

error: unable to recognize "kube/tfjob.yaml": no matches for kind "TFJob" in version "kubeflow.org/v1alpha1"

在搜索了一下之后，有人指出“v1alpha1”可能已经过时了，所以您应该使用“v1beta1”（奇怪的是，这个“v1alpha1”正在使用我的minikube设置，所以我非常困惑！）。但是，尽管已经创建了tfjob，但是我没有看到任何新的容器在启动，而minikube运行则相反，在minikube中，新的pod成功地开始和结束。当我描述Tfjob时，我看到了这个错误

 Type     Reason            Age   From         Message
  ----     ------            ----  ----         -------
  Warning  InvalidTFJobSpec  22s   tf-operator  Failed to marshal the object to TFJob; the spec is invalid: failed to marshal the object to TFJob"

因为唯一的区别是nfs存储，我想我的手动设置可能有问题。如果我因为没有足够的背景而把事情搞砸了，请告诉我！在

Answer 1

我找到了导致特定错误的问题。首先，api版本发生了变化，所以我不得不从v1alpha1移到{}。第二，我遵循的教程使用的是kubeflowv0.1.2（相当旧），在yaml文件中定义tfjob的语法从此改变了（不能确切地确定更改发生在哪个版本中！）。因此，通过查看git中的最新示例，我可以更新作业规范！在

教程版本：

apiVersion: kubeflow.org/v1alpha1
kind: TFJob
metadata:
  name: tfjob1
spec:
  replicaSpecs:
    - replicas: 1
      tfReplicaType: MASTER
      template:
        spec:
          volumes:
            - name: nfs-volume
              persistentVolumeClaim:
                claimName: nfs
          containers:
            - name: tensorflow
              image: learnk8s/mnist:1.0.0
              imagePullPolicy: IfNotPresent
              args:
                -  model_dir
                - ./out/vars
                -  export_dir
                - ./out/models
              volumeMounts:
                - mountPath: /app/out
                  name: nfs-volume
          restartPolicy: OnFailure
    - replicas: 2
      tfReplicaType: WORKER
      template:
        spec:
          containers:
            - name: tensorflow
              image: learnk8s/mnist:1.0.0
              imagePullPolicy: IfNotPresent
          restartPolicy: OnFailure
    - replicas: 1
      tfReplicaType: PS
      template:
        spec:
          volumes:
            - name: nfs-volume
              persistentVolumeClaim:
                claimName: nfs
          containers:
            - name: tensorflow
              image: learnk8s/mnist:1.0.0
              imagePullPolicy: IfNotPresent
              volumeMounts:
                - mountPath: /app/out
                  name: nfs-volume
          restartPolicy: OnFailure

更新版本：

^{pr2}$