ml-quantum-tensorflow-py/kubeflow/kfapp/kustomize/tf-job-operator/base/deployment.yaml

apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: tf-job-dashboard
spec:
  template:
    metadata:
      labels:
        name: tf-job-dashboard
    spec:
      containers:
      - command:
        - /opt/tensorflow_k8s/dashboard/backend
        env:
        - name: KUBEFLOW_NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        image: gcr.io/kubeflow-images-public/tf_operator:v0.6.0.rc0
        name: tf-job-dashboard
        ports:
        - containerPort: 8080
      serviceAccountName: tf-job-dashboard
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: tf-job-operator
spec:
  replicas: 1
  template:
    metadata:
      labels:
        name: tf-job-operator
    spec:
      containers:
      - command:
        - /opt/kubeflow/tf-operator.v1
        - --alsologtostderr
        - -v=1
        - --monitoring-port=8443
        env:
        - name: MY_POD_NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        - name: MY_POD_NAME
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        image: gcr.io/kubeflow-images-public/tf_operator:v0.6.0.rc0
        name: tf-job-operator
        volumeMounts:
        - mountPath: /etc/config
          name: config-volume
      serviceAccountName: tf-job-operator
      volumes:
      - configMap:
          name: tf-job-operator-config
        name: config-volume