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gistfile1.txt

---
apiVersion: v1
data:
  jupyterhub_config.py: |
    import json
    import os
    from kubespawner.spawner import KubeSpawner
    from jhub_remote_user_authenticator.remote_user_auth import RemoteUserAuthenticator
    from oauthenticator.github import GitHubOAuthenticator

    class KubeFormSpawner(KubeSpawner):
      def _options_form_default(self):
        return '''
        <label for='image'>Image</label>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
        <input name='image' placeholder='repo/image:tag'></input>
        <br/><br/>

        <label for='cpu_guarantee'>CPU</label>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
        <input name='cpu_guarantee' placeholder='200m, 1.0, 2.5, etc'></input>
        <br/><br/>

        <label for='mem_guarantee'>Memory</label>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
        <input name='mem_guarantee' placeholder='100Mi, 1.5Gi'></input>
        <br/><br/>

        <label for='extra_resource_limits'>Extra Resource Limits</label>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
        <input name='extra_resource_limits' placeholder='{'nvidia.com/gpu': '3'}'></input>
        <br/><br/>
        '''

      def options_from_form(self, formdata):
        options = {}
        options['image'] = formdata.get('image', [''])[0].strip()
        options['cpu_guarantee'] = formdata.get('cpu_guarantee', [''])[0].strip()
        options['mem_guarantee'] = formdata.get('mem_guarantee', [''])[0].strip()
        options['extra_resource_limits'] = formdata.get('extra_resource_limits', [''])[0].strip()
        return options

      @property
      def singleuser_image_spec(self):
        image = 'gcr.io/kubeflow/tensorflow-notebook-cpu'
        if self.user_options.get('image'):
          image = self.user_options['image']
        return image

      @property
      def cpu_guarantee(self):
        cpu = '500m'
        if self.user_options.get('cpu_guarantee'):
          cpu = self.user_options['cpu_guarantee']
        return cpu

      @property
      def mem_guarantee(self):
        mem = '1Gi'
        if self.user_options.get('mem_guarantee'):
          mem = self.user_options['mem_guarantee']
        return mem

      @property
      def extra_resource_limits(self):
        extra = ''
        if self.user_options.get('extra_resource_limits'):
          extra = json.loads(self.user_options['extra_resource_limits'])
        return extra

    ###################################################
    ### JupyterHub Options
    ###################################################
    c.JupyterHub.ip = '0.0.0.0'
    c.JupyterHub.hub_ip = '0.0.0.0'
    # Don't try to cleanup servers on exit - since in general for k8s, we want
    # the hub to be able to restart without losing user containers
    c.JupyterHub.cleanup_servers = False
    ###################################################

    ###################################################
    ### Spawner Options
    ###################################################
    c.JupyterHub.spawner_class = KubeFormSpawner
    c.KubeSpawner.singleuser_image_spec = 'gcr.io/kubeflow/tensorflow-notebook'
    c.KubeSpawner.cmd = 'start-singleuser.sh'
    c.KubeSpawner.args = ['--allow-root']
    # First pulls can be really slow, so let's give it a big timeout
    c.KubeSpawner.start_timeout = 60 * 10

    ###################################################
    ### Persistent volume options
    ###################################################
    # Using persistent storage requires a default storage class.
    # TODO(jlewi): Verify this works on minikube.
    # TODO(jlewi): Should we set c.KubeSpawner.singleuser_fs_gid = 1000
    # see https://github.com/kubeflow/kubeflow/pull/22#issuecomment-350500944
    c.KubeSpawner.user_storage_pvc_ensure = True
    # How much disk space do we want?
    c.KubeSpawner.user_storage_capacity = '10Gi'
    c.KubeSpawner.pvc_name_template = 'claim-{username}{servername}'

    ######## Authenticator ######
    c.JupyterHub.authenticator_class = 'dummyauthenticator.DummyAuthenticator'
kind: ConfigMap
metadata:
  name: jupyterhub-config
  namespace: kubeflow
---
apiVersion: v1
kind: Service
metadata:
  labels:
    app: tf-hub
  name: tf-hub-0
  namespace: kubeflow
spec:
  clusterIP: None
  ports:
  - name: hub
    port: 8000
  selector:
    app: tf-hub
---
apiVersion: v1
kind: Service
metadata:
  labels:
    app: tf-hub
  name: tf-hub-0
  namespace: kubeflow
spec:
  clusterIP: None
  ports:
  - name: hub
    port: 80
    targetPort: 8000
  selector:
    app: tf-hub
  type: ClusterIP
---
apiVersion: apps/v1beta1
kind: StatefulSet
metadata:
  name: tf-hub
  namespace: kubeflow
spec:
  replicas: 1
  serviceName: ""
  template:
    metadata:
      labels:
        app: tf-hub
    spec:
      containers:
      - command:
        - jupyterhub
        - -f
        - /etc/config/jupyterhub_config.py
        image: gcr.io/kubeflow/jupyterhub-k8s:1.0.1
        name: tf-hub
        ports:
        - containerPort: 8000
        - containerPort: 8081
        volumeMounts:
        - mountPath: /etc/config
          name: config-volume
      serviceAccountName: jupyter-hub
      volumes:
      - configMap:
          name: jupyterhub-config
        name: config-volume
  updateStrategy:
    type: RollingUpdate
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: Role
metadata:
  name: jupyter-role
  namespace: kubeflow
rules:
- apiGroups:
  - '*'
  resources:
  - '*'
  verbs:
  - '*'
---
apiVersion: v1
kind: ServiceAccount
metadata:
  labels:
    app: jupyter-hub
  name: jupyter-hub
  namespace: kubeflow
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: RoleBinding
metadata:
  name: jupyter-role
  namespace: kubeflow
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: jupyter-role
subjects:
- kind: ServiceAccount
  name: jupyter-hub
  namespace: kubeflow
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: tf-job-operator
  namespace: kubeflow
spec:
  replicas: 1
  template:
    metadata:
      labels:
        name: tf-job-operator
    spec:
      containers:
      - command:
        - /opt/mlkube/tf_operator
        - --controller-config-file=/etc/config/controller_config_file.yaml
        - --alsologtostderr
        - -v=1
        env:
        - name: MY_POD_NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        - name: MY_POD_NAME
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        image: gcr.io/tf-on-k8s-dogfood/tf_operator:v20180117-04425d9-dirty-e3b0c44
        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
---
apiVersion: v1
data:
  controller_config_file.yaml: |-
    {
        "grpcServerFilePath": "/opt/mlkube/grpc_tensorflow_server/grpc_tensorflow_server.py"
    }
kind: ConfigMap
metadata:
  name: tf-job-operator-config
  namespace: kubeflow
---
apiVersion: v1
kind: ServiceAccount
metadata:
  labels:
    app: tf-job-operator
  name: tf-job-operator
  namespace: kubeflow
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
metadata:
  labels:
    app: tf-job-operator
  name: tf-job-operator
rules:
- apiGroups:
  - tensorflow.org
  resources:
  - tfjobs
  verbs:
  - '*'
- apiGroups:
  - apiextensions.k8s.io
  resources:
  - customresourcedefinitions
  verbs:
  - '*'
- apiGroups:
  - storage.k8s.io
  resources:
  - storageclasses
  verbs:
  - '*'
- apiGroups:
  - batch
  resources:
  - jobs
  verbs:
  - '*'
- apiGroups:
  - ""
  resources:
  - configmaps
  - pods
  - services
  - endpoints
  - persistentvolumeclaims
  - events
  verbs:
  - '*'
- apiGroups:
  - apps
  - extensions
  resources:
  - deployments
  verbs:
  - '*'
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
  labels:
    app: tf-job-operator
  name: tf-job-operator
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: tf-job-operator
subjects:
- kind: ServiceAccount
  name: tf-job-operator
  namespace: kubeflow
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: tf-job-dashboard
  namespace: kubeflow
spec:
  template:
    metadata:
      labels:
        name: tf-job-dashboard
    spec:
      containers:
      - command:
        - /opt/tensorflow_k8s/dashboard/backend
        image: gcr.io/tf-on-k8s-dogfood/tf_operator:v20180117-04425d9-dirty-e3b0c44
        name: tf-job-dashboard
        ports:
        - containerPort: 8080
      serviceAccountName: tf-job-dashboard
---
apiVersion: v1
kind: Service
metadata:
  annotations:
    getambassador.io/config: |-
      ---
      apiVersion: ambassador/v0
      kind:  Mapping
      name: tfjobs-ui-mapping
      prefix: /tfjobs/ui/
      rewrite: /
      service: tf-job-dashboard.kubeflow
  name: tf-job-dashboard
  namespace: kubeflow
spec:
  ports:
  - port: 80
    targetPort: 8080
  selector:
    name: tf-job-dashboard
  type: ClusterIP
---
apiVersion: v1
kind: ServiceAccount
metadata:
  labels:
    app: tf-job-dashboard
  name: tf-job-dashboard
  namespace: kubeflow
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
metadata:
  labels:
    app: tf-job-dashboard
  name: tf-job-dashboard
rules:
- apiGroups:
  - tensorflow.org
  resources:
  - tfjobs
  verbs:
  - '*'
- apiGroups:
  - apiextensions.k8s.io
  resources:
  - customresourcedefinitions
  verbs:
  - '*'
- apiGroups:
  - storage.k8s.io
  resources:
  - storageclasses
  verbs:
  - '*'
- apiGroups:
  - batch
  resources:
  - jobs
  verbs:
  - '*'
- apiGroups:
  - ""
  resources:
  - configmaps
  - pods
  - services
  - endpoints
  - persistentvolumeclaims
  - events
  verbs:
  - '*'
- apiGroups:
  - apps
  - extensions
  resources:
  - deployments
  verbs:
  - '*'
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
  labels:
    app: tf-job-dashboard
  name: tf-job-dashboard
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: tf-job-dashboard
subjects:
- kind: ServiceAccount
  name: tf-job-dashboard
  namespace: kubeflow
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: tf-job-dashboard
  namespace: kubeflow
spec:
  template:
    metadata:
      labels:
        name: tf-job-dashboard
    spec:
      containers:
      - command:
        - /opt/tensorflow_k8s/dashboard/backend
        image: gcr.io/tf-on-k8s-dogfood/tf_operator:v20180117-04425d9-dirty-e3b0c44
        name: tf-job-dashboard
        ports:
        - containerPort: 8080
      serviceAccountName: tf-job-dashboard
---
apiVersion: v1
kind: Service
metadata:
  annotations:
    getambassador.io/config: |-
      ---
      apiVersion: ambassador/v0
      kind:  Mapping
      name: tfjobs-ui-mapping
      prefix: /tfjobs/ui/
      rewrite: /
      service: tf-job-dashboard.kubeflow
  name: tf-job-dashboard
  namespace: kubeflow
spec:
  ports:
  - port: 80
    targetPort: 8080
  selector:
    name: tf-job-dashboard
  type: ClusterIP
---
apiVersion: v1
kind: Service
metadata:
  labels:
    service: ambassador
  name: ambassador
  namespace: kubeflow
spec:
  ports:
  - name: ambassador
    port: 80
    targetPort: 80
  selector:
    service: ambassador
  type: ClusterIP
---
apiVersion: v1
kind: Service
metadata:
  labels:
    service: ambassador-admin
  name: ambassador-admin
  namespace: kubeflow
spec:
  ports:
  - name: ambassador-admin
    port: 8877
    targetPort: 8877
  selector:
    service: ambassador
  type: ClusterIP
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
metadata:
  name: ambassador
rules:
- apiGroups:
  - ""
  resources:
  - services
  verbs:
  - get
  - list
  - watch
- apiGroups:
  - ""
  resources:
  - configmaps
  verbs:
  - create
  - update
  - patch
  - get
  - list
  - watch
- apiGroups:
  - ""
  resources:
  - secrets
  verbs:
  - get
  - list
  - watch
---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: ambassador
  namespace: kubeflow
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
  name: ambassador
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: ambassador
subjects:
- kind: ServiceAccount
  name: ambassador
  namespace: kubeflow
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: ambassador
  namespace: kubeflow
spec:
  replicas: 3
  template:
    metadata:
      labels:
        service: ambassador
    spec:
      containers:
      - env:
        - name: AMBASSADOR_NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        image: quay.io/datawire/ambassador:0.22.0
        imagePullPolicy: Always
        livenessProbe:
          httpGet:
            path: /ambassador/v0/check_alive
            port: 8877
          initialDelaySeconds: 30
          periodSeconds: 30
        name: ambassador
        readinessProbe:
          httpGet:
            path: /ambassador/v0/check_ready
            port: 8877
          initialDelaySeconds: 30
          periodSeconds: 30
        resources:
          limits:
            cpu: 1
            memory: 400Mi
          requests:
            cpu: 200m
            memory: 100Mi
      - image: quay.io/datawire/statsd:0.22.0
        name: statsd
      restartPolicy: Always
      serviceAccountName: ambassador
---
apiVersion: v1
kind: Service
metadata:
  annotations:
    getambassador.io/config: |-
      ---
      apiVersion: ambassador/v0
      kind:  Mapping
      name: k8s-dashboard-ui-mapping
      prefix: /k8s/ui/
      rewrite: /
      tls: true
      service: kubernetes-dashboard.kube-system
  name: k8s-dashboard
  namespace: kubeflow
spec:
  ports:
  - port: 443
    targetPort: 8443
  selector:
    k8s-app: kubernetes-dashboard
  type: ClusterIP