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spawner_ui_config.yaml
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spawner_ui_config.yaml
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apiVersion: v1
kind: ConfigMap
metadata:
name: config
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
value: public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-scipy:master-1831e436
# The list of available standard container Images
options:
- ulissigroup/kubeflow:baselines
- ulissigroup/kubeflow_vasp:amptorch
- ulissigroup/kubeflow:surface_drl
- public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-scipy:master-1831e436
- public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-pytorch-full:master-1831e436
- public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-pytorch-cuda-full:master-1831e436
#- public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-tensorflow-full:master-1831e436
#- public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-tensorflow-cuda-full:master-1831e436
imageGroupOne:
# The container Image for the user's Group One Server
# The annotation `notebooks.kubeflow.org/http-rewrite-uri: /`
# is applied to notebook in this group, configuring
# the Istio rewrite for containers that host their web UI at `/`
value: public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/codeserver-python:master-1831e436
# The list of available standard container Images
options:
- public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/codeserver-python:master-1831e436
imageGroupTwo:
# The container Image for the user's Group Two Server
# The annotation `notebooks.kubeflow.org/http-rewrite-uri: /`
# is applied to notebook in this group, configuring
# the Istio rewrite for containers that host their web UI at `/`
# The annotation `notebooks.kubeflow.org/http-headers-request-set`
# is applied to notebook in this group, configuring Istio
# to add the `X-RStudio-Root-Path` header to requests
value: public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/rstudio-tidyverse:master-164fa2ea
# The list of available standard container Images
options:
- public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/rstudio-tidyverse:master-164fa2ea
allowCustomImage: true
# If true, users can input custom images
# If false, users can only select from the images in this config
imagePullPolicy:
# Supported values: Always, IfNotPresent, Never
value: Always
readOnly: false
cpu:
# CPU for user's Notebook
value: '0.5'
# Factor by with to multiply request to calculate limit
# if no limit is set, to disable set "none"
limitFactor: "1"
readOnly: false
memory:
# Memory for user's Notebook
value: 1.0Gi
# Factor by with to multiply request to calculate limit
# if no limit is set, to disable set "none"
limitFactor: "1"
readOnly: false
environment:
value: {}
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: '5Gi'
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: ReadWriteMany
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: Existing
name:
value: 'shared-datasets'
mountPath:
value: /home/jovyan/shared-datasets/
size:
value: '10000Gi'
class:
value: '{none}'
accessModes:
value: ReadOnlyMany
- value:
type:
value: Existing
name:
value: 'shared-scratch'
mountPath:
value: /home/jovyan/shared-scratch/
size:
value: '10000Gi'
class:
value: '{none}'
accessModes:
value: ReadWriteMany
# 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
gpus:
# Number of GPUs to be assigned to the Notebook Container
value:
# values: "none", "1", "2", "4", "8"
num: "none"
# Determines what the UI will show and send to the backend
vendors:
- limitsKey: "nvidia.com/gpu"
uiName: "NVIDIA"
# - limitsKey: "amd.com/gpu"
# uiName: "AMD"
# Values: "" or a `limits-key` from the vendors list
vendor: ""
readOnly: false
affinityConfig:
# If readonly, the default value will be the only option
# value is a list of `configKey`s that we want to be selected by default
value: "nogpu"
# The list of available affinity configs
options:
- configKey: "a6000"
displayName: "A6000"
affinity:
nodeAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: "nvidia.com/gpu.product"
operator: "In"
values:
- RTX-A6000
- NVIDIA-RTX-A6000
- configKey: "gpu"
displayName: "GPU"
affinity:
nodeAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: "nvidia.com/gpu.product"
operator: "In"
values:
- NVIDIA-GeForce-RTX-2080-Ti
- NVIDIA-Titan-RTX
- NVIDIA-Titan-V
- configKey: "nogpu"
displayName: "no-GPU"
affinity:
nodeAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: "nvidia.com/gpu.product"
operator: "DoesNotExist"
# # (Require) Node WITHOUT existing Pod having label: `notebook-name`
# podAntiAffinity:
# requiredDuringSchedulingIgnoredDuringExecution:
# - labelSelector:
# matchExpressions:
# - key: "notebook-name"
# operator: "Exists"
# namespaces: []
# topologyKey: "kubernetes.io/hostname"
readOnly: false
tolerationGroup:
# The default `groupKey` from the options list
# If readonly, the default value will be the only option
value: ""
# The list of available tolerationGroup configs
options: []
#options:
# - groupKey: "group_1"
# displayName: "Group 1: description"
# tolerations:
# - key: "key1"
# operator: "Equal"
# value: "value1"
# effect: "NoSchedule"
# - key: "key2"
# operator: "Equal"
# value: "value2"
# effect: "NoSchedule"
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