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[bitnami/pytorch] Drop values-production.yaml support (#5127)
This commit is contained in:
Carlos Rodríguez Hernández
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GitHub
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675d44b705
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2d7f9f3271
@@ -24,4 +24,4 @@ name: pytorch
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sources:
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- https://github.com/bitnami/bitnami-docker-pytorch
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- http://pytorch.org/
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version: 2.1.1
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version: 2.1.2
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@@ -142,22 +142,6 @@ It is strongly recommended to use immutable tags in a production environment. Th
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Bitnami will release a new chart updating its containers if a new version of the main container, significant changes, or critical vulnerabilities exist.
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### Production configuration
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This chart includes a `values-production.yaml` file where you can find some parameters oriented to production configuration in comparison to the regular `values.yaml`. You can use this file instead of the default one.
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- Run PyTorch in distributed mode:
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```diff
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- mode: standalone
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+ mode: distributed
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```
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- Number of nodes that will run the code:
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```diff
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- #worldSize:
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+ worldSize: 4
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```
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### Loading your files
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The PyTorch chart supports three different ways to load your files. In order of priority, they are:
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@@ -1,272 +0,0 @@
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## Global Docker image parameters
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## Please, note that this will override the image parameters, including dependencies, configured to use the global value
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## Current available global Docker image parameters: imageRegistry and imagePullSecrets
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##
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# global:
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# imageRegistry: myRegistryName
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# imagePullSecrets:
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# - myRegistryKeySecretName
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# storageClass: myStorageClass
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## Bitnami PyTorch image version
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## ref: https://hub.docker.com/r/bitnami/pytorch/tags/
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##
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image:
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registry: docker.io
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repository: bitnami/pytorch
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tag: 1.7.1-debian-10-r17
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## Specify a imagePullPolicy
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## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
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## ref: http://kubernetes.io/docs/user-guide/images/#pre-pulling-images
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##
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pullPolicy: IfNotPresent
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## Optionally specify an array of imagePullSecrets.
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## Secrets must be manually created in the namespace.
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## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
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##
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# pullSecrets:
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# - myRegistryKeySecretName
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##
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## Set to true if you would like to see extra information on logs
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## It turns BASH and NAMI debugging in minideb
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## ref: https://github.com/bitnami/minideb-extras/#turn-on-bash-debugging
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debug: false
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## String to partially override common.names.fullname template (will maintain the release name)
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##
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# nameOverride:
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## String to fully override common.names.fullname template
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##
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# fullnameOverride:
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## Bitnami git image version
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## ref: https://hub.docker.com/r/bitnami/git/tags/
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##
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git:
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registry: docker.io
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repository: bitnami/git
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tag: 2.30.0-debian-10-r10
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pullPolicy: IfNotPresent
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## Optionally specify an array of imagePullSecrets.
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## Secrets must be manually created in the namespace.
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## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
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##
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# pullSecrets:
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# - myRegistryKeySecretName
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## Init containers parameters:
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## volumePermissions: Change the owner and group of the persistent volume mountpoint to runAsUser:fsGroup values from the securityContext section.
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##
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volumePermissions:
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enabled: false
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image:
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registry: docker.io
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repository: bitnami/minideb
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tag: buster
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pullPolicy: Always
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## Optionally specify an array of imagePullSecrets.
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## Secrets must be manually created in the namespace.
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## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
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##
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# pullSecrets:
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# - myRegistryKeySecretName
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## Init container' resource requests and limits
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## ref: http://kubernetes.io/docs/user-guide/compute-resources/
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##
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resources:
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# We usually recommend not to specify default resources and to leave this as a conscious
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# choice for the user. This also increases chances charts run on environments with little
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# resources, such as Minikube. If you do want to specify resources, uncomment the following
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# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
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limits: {}
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# cpu: 100m
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# memory: 128Mi
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requests: {}
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# cpu: 100m
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# memory: 128Mi
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## Service for the scheduler node
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##
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service:
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## Kubernetes service type
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##
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type: ClusterIP
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## Scheduler Service port
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##
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port: 49875
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## Specify the nodePort value for the LoadBalancer and NodePort service types.
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## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-nodeport
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##
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# nodePort:
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## Provide any additional annotations which may be required. This can be used to
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## set the LoadBalancer service type to internal only.
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## ref: https://kubernetes.io/docs/concepts/services-networking/service/#internal-load-balancer
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##
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annotations: {}
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## PyTorch configuration
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## The main entrypoint of your app, this will be executed as:
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## python [file] [args]
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##
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entrypoint:
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file:
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# args:
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## PyTorch deployment mode. Can be `standalone` or `distributed`
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##
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mode: distributed
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## Number of nodes that will run the code
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## WORLD_SIZE will be set to this value
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##
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worldSize: 4
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## The port used to communicate with the master
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## MASTER_PORT will be set to this value
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##
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port: 49875
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## Name of an existing config map containing all the files you want to load in PyTorch
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##
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# configMap:
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## Enable in order to download files from git repository.
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##
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cloneFilesFromGit:
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enabled: false
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# repository:
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# revision: master
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## Additional environment variables
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##
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# extraEnvVars:
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# - name: NCCL_DEBUG
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# value: "INFO"
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# - name: NCCL_DEBUG_SUBSYS
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# value: "ALL"
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## Pod affinity preset
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## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
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## Allowed values: soft, hard
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##
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podAffinityPreset: ""
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## Pod anti-affinity preset
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## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
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## Allowed values: soft, hard
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##
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podAntiAffinityPreset: soft
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## Node affinity preset
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## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
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## Allowed values: soft, hard
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##
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nodeAffinityPreset:
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## Node affinity type
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## Allowed values: soft, hard
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type: ""
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## Node label key to match
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## E.g.
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## key: "kubernetes.io/e2e-az-name"
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##
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key: ""
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## Node label values to match
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## E.g.
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## values:
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## - e2e-az1
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## - e2e-az2
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##
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values: []
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## Affinity for pod assignment. Evaluated as a template.
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## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
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## Note: podAffinityPreset, podAntiAffinityPreset, and nodeAffinityPreset will be ignored when it's set
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##
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affinity: {}
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## Node labels for pod assignment. Evaluated as a template.
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## ref: https://kubernetes.io/docs/user-guide/node-selection/
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##
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nodeSelector: {}
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## Tolerations for pod assignment. Evaluated as a template.
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## ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
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##
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tolerations: []
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## Pod Security Context
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## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/
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##
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securityContext:
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enabled: true
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fsGroup: 1001
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runAsUser: 1001
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## Configure resource requests and limits
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## ref: http://kubernetes.io/docs/user-guide/compute-resources/
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##
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resources:
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# We usually recommend not to specify default resources and to leave this as a conscious
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# choice for the user. This also increases chances charts run on environments with little
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# resources, such as Minikube. If you do want to specify resources, uncomment the following
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# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
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limits: {}
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# cpu: 250m
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# memory: 256Mi
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requests: {}
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# cpu: 250m
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# memory: 256Mi
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## Configure liveness and readiness probes
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## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-probes/#configure-probes)
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##
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livenessProbe:
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enabled: true
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initialDelaySeconds: 5
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periodSeconds: 5
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timeoutSeconds: 5
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successThreshold: 1
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failureThreshold: 5
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readinessProbe:
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enabled: true
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initialDelaySeconds: 5
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periodSeconds: 5
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timeoutSeconds: 1
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successThreshold: 1
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failureThreshold: 5
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## Enable persistence using Persistent Volume Claims
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## ref: http://kubernetes.io/docs/user-guide/persistent-volumes/
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##
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persistence:
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## If true, use a Persistent Volume Claim
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##
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enabled: true
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## Data volume mount path
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##
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mountPath: /bitnami/pytorch
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## Persistent Volume Access Mode
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##
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accessModes:
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- ReadWriteOnce
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## Persistent Volume size
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##
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size: 8Gi
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## Persistent Volume Storage Class
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## If defined, storageClassName: <storageClass>
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## If set to "-", storageClassName: "", which disables dynamic provisioning
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## If undefined (the default) or set to null, no storageClassName spec is
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## set, choosing the default provisioner. (gp2 on AWS, standard on
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## GKE, AWS & OpenStack)
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##
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# storageClass: "-"
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## Persistent Volume Claim annotations
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##
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annotations: {}
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