mirror of
https://github.com/autistic-symposium/ml-quantum-tensorflow-py.git
synced 2025-04-25 18:29:11 -04:00
144 lines
6.0 KiB
YAML
144 lines
6.0 KiB
YAML
apiVersion: v1
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data:
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spawner_ui_config.yaml: |
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# Configuration file for the Jupyter UI.
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#
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# Each Jupyter UI option is configured by two keys: 'value' and 'readOnly'
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# - The 'value' key contains the default value
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# - The 'readOnly' key determines if the option will be available to users
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#
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# If the 'readOnly' key is present and set to 'true', the respective option
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# will be disabled for users and only set by the admin. Also when a
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# Notebook is POSTED to the API if a necessary field is not present then
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# the value from the config will be used.
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#
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# If the 'readOnly' key is missing (defaults to 'false'), the respective option
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# will be available for users to edit.
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#
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# Note that some values can be templated. Such values are the names of the
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# Volumes as well as their StorageClass
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spawnerFormDefaults:
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image:
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# The container Image for the user's Jupyter Notebook
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# If readonly, this value must be a member of the list below
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value: gcr.io/kubeflow-images-public/tensorflow-1.13.1-notebook-cpu:v0.5.0
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# The list of available standard container Images
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options:
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- gcr.io/kubeflow-images-public/tensorflow-1.5.1-notebook-cpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-1.5.1-notebook-gpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-1.6.0-notebook-cpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-1.6.0-notebook-gpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-1.7.0-notebook-cpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-1.7.0-notebook-gpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-1.8.0-notebook-cpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-1.8.0-notebook-gpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-1.9.0-notebook-cpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-1.9.0-notebook-gpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-1.10.1-notebook-cpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-1.10.1-notebook-gpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-1.11.0-notebook-cpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-1.11.0-notebook-gpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-1.12.0-notebook-cpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-1.12.0-notebook-gpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-1.13.1-notebook-cpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-1.13.1-notebook-gpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-2.0.0a-notebook-cpu:v0.5.0
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- gcr.io/kubeflow-images-public/tensorflow-2.0.0a-notebook-gpu:v0.5.0
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# By default, custom container Images are allowed
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# Uncomment the following line to only enable standard container Images
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readOnly: false
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cpu:
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# CPU for user's Notebook
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value: '0.5'
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readOnly: false
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memory:
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# Memory for user's Notebook
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value: 1.0Gi
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readOnly: false
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workspaceVolume:
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# Workspace Volume to be attached to user's Notebook
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# Each Workspace Volume is declared with the following attributes:
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# Type, Name, Size, MountPath and Access Mode
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value:
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type:
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# The Type of the Workspace Volume
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# Supported values: 'New', 'Existing'
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value: New
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name:
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# The Name of the Workspace Volume
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# Note that this is a templated value. Special values:
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# {notebook-name}: Replaced with the name of the Notebook. The frontend
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# will replace this value as the user types the name
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value: 'workspace-{notebook-name}'
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size:
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# The Size of the Workspace Volume (in Gi)
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value: '10Gi'
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mountPath:
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# The Path that the Workspace Volume will be mounted
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value: /home/jovyan
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accessModes:
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# The Access Mode of the Workspace Volume
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# Supported values: 'ReadWriteOnce', 'ReadWriteMany', 'ReadOnlyMany'
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value: ReadWriteOnce
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class:
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# The StrageClass the PVC will use if type is New. Special values are:
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# {none}: default StorageClass
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# {empty}: empty string ""
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value: '{none}'
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readOnly: false
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dataVolumes:
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# List of additional Data Volumes to be attached to the user's Notebook
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value: []
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# Each Data Volume is declared with the following attributes:
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# Type, Name, Size, MountPath and Access Mode
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#
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# For example, a list with 2 Data Volumes:
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# value:
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# - value:
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# type:
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# value: New
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# name:
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# value: '{notebook-name}-vol-1'
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# size:
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# value: '10Gi'
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# class:
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# value: standard
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# mountPath:
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# value: /home/jovyan/vol-1
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# accessModes:
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# value: ReadWriteOnce
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# class:
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# value: {none}
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# - value:
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# type:
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# value: New
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# name:
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# value: '{notebook-name}-vol-2'
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# size:
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# value: '10Gi'
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# mountPath:
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# value: /home/jovyan/vol-2
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# accessModes:
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# value: ReadWriteMany
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# class:
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# value: {none}
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readOnly: false
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extraResources:
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# Extra Resource Limits for user's Notebook
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# e.x. "{'nvidia.com/gpu': 2}"
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value: "{}"
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readOnly: false
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shm:
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value: true
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readOnly: false
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configurations:
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# List of labels to be selected, these are the labels from PodDefaults
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# value:
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# - add-gcp-secret
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# - default-editor
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value: []
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readOnly: false
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kind: ConfigMap
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metadata:
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name: config
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