apiVersion: v1
data:
  spawner_ui_config.yaml: |
    # Configuration file for the Jupyter UI.
    #
    # Each Jupyter UI option is configured by two keys: 'value' and 'readOnly'
    # - The 'value' key contains the default value
    # - The 'readOnly' key determines if the option will be available to users
    #
    # If the 'readOnly' key is present and set to 'true', the respective option
    # will be disabled for users and only set by the admin. Also when a
    # Notebook is POSTED to the API if a necessary field is not present then
    # the value from the config will be used.
    #
    # If the 'readOnly' key is missing (defaults to 'false'), the respective option
    # will be available for users to edit.
    #
    # Note that some values can be templated. Such values are the names of the
    # Volumes as well as their StorageClass
    spawnerFormDefaults:
      image:
        # The container Image for the user's Jupyter Notebook
        # If readonly, this value must be a member of the list below
        value: gcr.io/kubeflow-images-public/tensorflow-1.13.1-notebook-cpu:v0.5.0
        # The list of available standard container Images
        options:
          - gcr.io/kubeflow-images-public/tensorflow-1.5.1-notebook-cpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-1.5.1-notebook-gpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-1.6.0-notebook-cpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-1.6.0-notebook-gpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-1.7.0-notebook-cpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-1.7.0-notebook-gpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-1.8.0-notebook-cpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-1.8.0-notebook-gpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-1.9.0-notebook-cpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-1.9.0-notebook-gpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-1.10.1-notebook-cpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-1.10.1-notebook-gpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-1.11.0-notebook-cpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-1.11.0-notebook-gpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-1.12.0-notebook-cpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-1.12.0-notebook-gpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-1.13.1-notebook-cpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-1.13.1-notebook-gpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-2.0.0a-notebook-cpu:v0.5.0
          - gcr.io/kubeflow-images-public/tensorflow-2.0.0a-notebook-gpu:v0.5.0
        # By default, custom container Images are allowed
        # Uncomment the following line to only enable standard container Images
        readOnly: false
      cpu:
        # CPU for user's Notebook
        value: '0.5'
        readOnly: false
      memory:
        # Memory for user's Notebook
        value: 1.0Gi
        readOnly: false
      workspaceVolume:
        # Workspace Volume to be attached to user's Notebook
        # Each Workspace Volume is declared with the following attributes:
        # Type, Name, Size, MountPath and Access Mode
        value:
          type:
            # The Type of the Workspace Volume
            # Supported values: 'New', 'Existing'
            value: New
          name:
            # The Name of the Workspace Volume
            # Note that this is a templated value. Special values:
            # {notebook-name}: Replaced with the name of the Notebook. The frontend
            #                  will replace this value as the user types the name
            value: 'workspace-{notebook-name}'
          size:
            # The Size of the Workspace Volume (in Gi)
            value: '10Gi'
          mountPath:
            # The Path that the Workspace Volume will be mounted
            value: /home/jovyan
          accessModes:
            # The Access Mode of the Workspace Volume
            # Supported values: 'ReadWriteOnce', 'ReadWriteMany', 'ReadOnlyMany'
            value: ReadWriteOnce
          class:
            # The StrageClass the PVC will use if type is New. Special values are:
            # {none}: default StorageClass
            # {empty}: empty string ""
            value: '{none}'
        readOnly: false
      dataVolumes:
        # List of additional Data Volumes to be attached to the user's Notebook
        value: []
        # Each Data Volume is declared with the following attributes:
        # Type, Name, Size, MountPath and Access Mode
        #
        # For example, a list with 2 Data Volumes:
        # value:
        #   - value:
        #       type:
        #         value: New
        #       name:
        #         value: '{notebook-name}-vol-1'
        #       size:
        #         value: '10Gi'
        #       class:
        #         value: standard
        #       mountPath:
        #         value: /home/jovyan/vol-1
        #       accessModes:
        #         value: ReadWriteOnce
        #       class:
        #         value: {none}
        #   - value:
        #       type:
        #         value: New
        #       name:
        #         value: '{notebook-name}-vol-2'
        #       size:
        #         value: '10Gi'
        #       mountPath:
        #         value: /home/jovyan/vol-2
        #       accessModes:
        #         value: ReadWriteMany
        #       class:
        #         value: {none}
        readOnly: false
      extraResources:
        # Extra Resource Limits for user's Notebook
        # e.x. "{'nvidia.com/gpu': 2}"
        value: "{}"
        readOnly: false
      shm:
        value: true
        readOnly: false
      configurations:
        # List of labels to be selected, these are the labels from PodDefaults
        # value:
        #   - add-gcp-secret
        #   - default-editor
        value: []
        readOnly: false
kind: ConfigMap
metadata:
  name: config