apiVersion: apps/v1
kind: Deployment
metadata:
  name: gpu-master
  namespace: gpu
spec:
  replicas: 1
  selector:
    matchLabels:
      app: gpu-master
  template:
    metadata:
      labels:
        app: gpu-master
    spec:
      hostname: gpu-master
      containers:
      - name: gpu-master
        image: 192.168.168.10:5000/library/pytorch-gpu:v3
        env:
        - name: NVIDIA_DRIVER_CAPABILITIES
          value: compute,utility
        - name: NVIDIA_VISIBLE_DEVICES
          value: all
        securityContext:
          privileged: true
          runAsUser: 0
        resources:
           limits:
             nvidia.com/gpu: "1"
           requests:
             nvidia.com/gpu: "1"
        volumeMounts:
        - name: code-host-path
          mountPath: /persistent
      volumes:
      - name: code-host-path
        hostPath:
           path: /root/gpu/gpucode

apiVersion: batch/v1
kind: Job
metadata:
  labels:
    app-name: gpu-job
    job-name: gpu-job
  name: gpu-job
  namespace: gpu
spec:
  backoffLimit: 6
  parallelism: 1
  template:
    metadata:
      labels:
        app-name: gpu-job
        job-name: gpu-job
      name: gpu-job
    spec:
      containers:
      - command:
        - /bin/bash
        - -c
        - '/usr/local/anaconda2/envs/edu_pytorch/bin/python3.6 /persistent/test.py '
        image: 192.168.168.10:5000/library/pytorch-gpu:v3
        env:
        - name: NVIDIA_DRIVER_CAPABILITIES
          value: compute,utility
        - name: NVIDIA_VISIBLE_DEVICES
          value: all
        imagePullPolicy: IfNotPresent
        name: gpu-job
        resources:
          limits:
            nvidia.com/gpu: "1"
          requests:
            nvidia.com/gpu: "1"
        securityContext:
          privileged: true
          procMount: Default
        volumeMounts:
        - name: code-host-path
          mountPath: /persistent
      dnsPolicy: ClusterFirst
      hostname: gpu-job
      restartPolicy: OnFailure
      schedulerName: default-scheduler
      securityContext: {}
      volumes:
      - name: code-host-path
        hostPath:
           path: /root/gpu/gpucode