charts/bitnami/pytorch/values.yaml

# Copyright Broadcom, Inc. All Rights Reserved.
# SPDX-License-Identifier: APACHE-2.0

## @section Global parameters
## Global Docker image parameters
## Please, note that this will override the image parameters, including dependencies, configured to use the global value
## Current available global Docker image parameters: imageRegistry, imagePullSecrets and storageClass
##

## @param global.imageRegistry Global Docker image registry
## @param global.imagePullSecrets Global Docker registry secret names as an array
## @param global.storageClass Global StorageClass for Persistent Volume(s)
##
global:
  imageRegistry: ""
  ## E.g.
  ## imagePullSecrets:
  ##   - myRegistryKeySecretName
  ##
  imagePullSecrets: []
  storageClass: ""
  ## Compatibility adaptations for Kubernetes platforms
  ##
  compatibility:
    ## Compatibility adaptations for Openshift
    ##
    openshift:
      ## @param global.compatibility.openshift.adaptSecurityContext Adapt the securityContext sections of the deployment to make them compatible with Openshift restricted-v2 SCC: remove runAsUser, runAsGroup and fsGroup and let the platform use their allowed default IDs. Possible values: auto (apply if the detected running cluster is Openshift), force (perform the adaptation always), disabled (do not perform adaptation)
      ##
      adaptSecurityContext: auto
## @section Common parameters
##

## @param kubeVersion Override Kubernetes version
##
kubeVersion: ""
## @param nameOverride String to partially override common.names.fullname template (will maintain the release name)
##
nameOverride: ""
## @param commonLabels Labels to add to all deployed objects
##
commonLabels: {}
## @param commonAnnotations Annotations to add to all deployed objects
##
commonAnnotations: {}
## @param fullnameOverride String to fully override common.names.fullname template
##
fullnameOverride: ""
## @param extraDeploy Array of extra objects to deploy with the release
##
extraDeploy: []
## Enable diagnostic mode in the deployment
##
diagnosticMode:
  ## @param diagnosticMode.enabled Enable diagnostic mode (all probes will be disabled and the command will be overridden)
  ##
  enabled: false
  ## @param diagnosticMode.command Command to override all containers in the deployment
  ##
  command:
    - sleep
  ## @param diagnosticMode.args Args to override all containers in the deployment
  ##
  args:
    - infinity
## @section PyTorch parameters
##

## Bitnami PyTorch image version
## ref: https://hub.docker.com/r/bitnami/pytorch/tags/
## @param image.registry [default: REGISTRY_NAME] PyTorch image registry
## @param image.repository [default: REPOSITORY_NAME/pytorch] PyTorch image repository
## @skip image.tag PyTorch image tag (immutable tags are recommended)
## @param image.digest PyTorch image digest in the way sha256:aa.... Please note this parameter, if set, will override the tag
## @param image.pullPolicy PyTorch image pull policy
## @param image.pullSecrets Specify docker-registry secret names as an array
##
image:
  registry: docker.io
  repository: bitnami/pytorch
  tag: 2.3.0-debian-12-r2
  digest: ""
  ## Specify a imagePullPolicy
  ## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
  ## ref: https://kubernetes.io/docs/concepts/containers/images/#pre-pulled-images
  ##
  pullPolicy: IfNotPresent
  ## Optionally specify an array of imagePullSecrets.
  ## Secrets must be manually created in the namespace.
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
  ## Example:
  ## pullSecrets:
  ##   - myRegistryKeySecretName
  ##
  pullSecrets: []
## @param worldSize Number of nodes that will run the code
## WORLD_SIZE will be set to this value
##
worldSize: 1
## port PyTorch master port. DEPRECATED Use containerPorts.pytorch instead
##
## port: 49875
## @param containerPorts.pytorch PyTorch master port. `MASTER_PORT` will be set to this value
##
containerPorts:
  pytorch: 49875
## Configure extra options for liveness probe
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-probes/#configure-probes
## @param livenessProbe.enabled Enable livenessProbe
## @param livenessProbe.initialDelaySeconds Initial delay seconds for livenessProbe
## @param livenessProbe.periodSeconds Period seconds for livenessProbe
## @param livenessProbe.timeoutSeconds Timeout seconds for livenessProbe
## @param livenessProbe.failureThreshold Failure threshold for livenessProbe
## @param livenessProbe.successThreshold Success threshold for livenessProbe
##
livenessProbe:
  enabled: true
  initialDelaySeconds: 5
  periodSeconds: 20
  timeoutSeconds: 20
  successThreshold: 1
  failureThreshold: 5
## Configure extra options for readiness probe
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-probes/#configure-probes
## @param readinessProbe.enabled Enable readinessProbe
## @param readinessProbe.initialDelaySeconds Initial delay seconds for readinessProbe
## @param readinessProbe.periodSeconds Period seconds for readinessProbe
## @param readinessProbe.timeoutSeconds Timeout seconds for readinessProbe
## @param readinessProbe.failureThreshold Failure threshold for readinessProbe
## @param readinessProbe.successThreshold Success threshold for readinessProbe
##
readinessProbe:
  enabled: true
  initialDelaySeconds: 5
  periodSeconds: 5
  timeoutSeconds: 20
  successThreshold: 1
  failureThreshold: 5
## Configure extra options for startup probe
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-startup-probes/#configure-probes
## @param startupProbe.enabled Enable startupProbe
## @param startupProbe.initialDelaySeconds Initial delay seconds for startupProbe
## @param startupProbe.periodSeconds Period seconds for startupProbe
## @param startupProbe.timeoutSeconds Timeout seconds for startupProbe
## @param startupProbe.failureThreshold Failure threshold for startupProbe
## @param startupProbe.successThreshold Success threshold for startupProbe
##
startupProbe:
  enabled: true
  initialDelaySeconds: 5
  periodSeconds: 5
  timeoutSeconds: 20
  successThreshold: 1
  failureThreshold: 5
## @param customLivenessProbe Custom livenessProbe that overrides the default one
##
customLivenessProbe: {}
## @param customReadinessProbe Custom readinessProbe that overrides the default one
##
customReadinessProbe: {}
## @param customStartupProbe Custom startupProbe that overrides the default one
##
customStartupProbe: {}
## Pod Security Context
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/
## securityContext.enabled DEPRECATED Use podSecurityContext.enabled instead
## securityContext.fsGroup DEPRECATED Use podSecurityContext.fsGroup instead
## securityContext.runAsUser DEPRECATED Use podSecurityContext.runAsUser instead
## securityContext:
##   enabled: true
##   fsGroup: 1001
##   runAsUser: 1001
## @param podSecurityContext.enabled Enabled Pytorch pods' Security Context
## @param podSecurityContext.fsGroupChangePolicy Set filesystem group change policy
## @param podSecurityContext.sysctls Set kernel settings using the sysctl interface
## @param podSecurityContext.supplementalGroups Set filesystem extra groups
## @param podSecurityContext.fsGroup Set Pytorch pods' Security Context fsGroup
##
podSecurityContext:
  enabled: true
  fsGroupChangePolicy: Always
  sysctls: []
  supplementalGroups: []
  fsGroup: 1001
## Configure Container Security Context
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
## @param containerSecurityContext.enabled Enabled containers' Security Context
## @param containerSecurityContext.seLinuxOptions [object,nullable] Set SELinux options in container
## @param containerSecurityContext.runAsUser Set containers' Security Context runAsUser
## @param containerSecurityContext.runAsGroup Set containers' Security Context runAsGroup
## @param containerSecurityContext.runAsNonRoot Set container's Security Context runAsNonRoot
## @param containerSecurityContext.privileged Set container's Security Context privileged
## @param containerSecurityContext.readOnlyRootFilesystem Set container's Security Context readOnlyRootFilesystem
## @param containerSecurityContext.allowPrivilegeEscalation Set container's Security Context allowPrivilegeEscalation
## @param containerSecurityContext.capabilities.drop List of capabilities to be dropped
## @param containerSecurityContext.seccompProfile.type Set container's Security Context seccomp profile
##
containerSecurityContext:
  enabled: true
  seLinuxOptions: null
  runAsUser: 1001
  runAsGroup: 1001
  runAsNonRoot: true
  privileged: false
  readOnlyRootFilesystem: true
  allowPrivilegeEscalation: false
  capabilities:
    drop: ["ALL"]
  seccompProfile:
    type: "RuntimeDefault"
## Pytorch resource requests and limits
## ref: http://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
## @param resourcesPreset Set container resources according to one common preset (allowed values: none, nano, micro, small, medium, large, xlarge, 2xlarge). This is ignored if resources is set (resources is recommended for production).
## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15
##
resourcesPreset: "small"
## @param resources Set container requests and limits for different resources like CPU or memory (essential for production workloads)
## Example:
## resources:
##   requests:
##     cpu: 2
##     memory: 512Mi
##   limits:
##     cpu: 3
##     memory: 1024Mi
##
resources: {}
## PyTorch configuration. This will be executed as: python [file] [args]
## @param entrypoint.file Main entrypoint to your application
## @param entrypoint.args Args required by your entrypoint
##
entrypoint:
  file: ""
  args: []
## mode DEPRECATED. Use architecture instead
##
## mode: standalone
## @param architecture Run PyTorch in standalone or distributed mode. Possible values: `standalone`, `distributed`
##
architecture: standalone
## @param automountServiceAccountToken Mount Service Account token in pod
##
automountServiceAccountToken: false
## @param hostAliases Deployment pod host aliases
## https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/
##
hostAliases: []
## @param command Override default container command (useful when using custom images)
##
command: []
## @param args Override default container args (useful when using custom images)
##
args: []
## @param podLabels Extra labels for Pytorch pods
## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
##
podLabels: {}
## @param podAnnotations Annotations for Pytorch pods
## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
##
podAnnotations: {}
## @param existingConfigmap Config map that contains the files you want to load in PyTorch
##
existingConfigmap: ""
## Enable in order to download files from git repository.
##
cloneFilesFromGit:
  ## @param cloneFilesFromGit.enabled Enable in order to download files from git repository
  ##
  enabled: false
  ## @param cloneFilesFromGit.repository Repository that holds the files
  ##
  repository: ""
  ## @param cloneFilesFromGit.revision Revision from the repository to checkout
  ##
  revision: ""
  ## @param cloneFilesFromGit.extraVolumeMounts Add extra volume mounts for the Git container
  ## Useful to mount keys to connect through ssh. (normally used with extraVolumes)
  ## E.g:
  ## extraVolumeMounts:
  ##   - name: ssh-dir
  ##     mountPath: /.ssh/
  ##
  extraVolumeMounts: []
## @param podAffinityPreset Pod affinity preset. Ignored if `affinity` is set. Allowed values: `soft` or `hard`
## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
##
podAffinityPreset: ""
## @param podAntiAffinityPreset Pod anti-affinity preset. Ignored if `affinity` is set. Allowed values: `soft` or `hard`
## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
##
podAntiAffinityPreset: soft
## Node affinity preset
## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
##
nodeAffinityPreset:
  ## @param nodeAffinityPreset.type Node affinity preset type. Ignored if `affinity` is set. Allowed values: `soft` or `hard`
  ##
  type: ""
  ## @param nodeAffinityPreset.key Node label key to match Ignored if `affinity` is set.
  ## E.g.
  ## key: "kubernetes.io/e2e-az-name"
  ##
  key: ""
  ## @param nodeAffinityPreset.values Node label values to match. Ignored if `affinity` is set.
  ## E.g.
  ## values:
  ##   - e2e-az1
  ##   - e2e-az2
  ##
  values: []
## @param affinity Affinity for pod assignment. Evaluated as a template.
## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
## Note: podAffinityPreset, podAntiAffinityPreset, and nodeAffinityPreset will be ignored when it's set
##
affinity: {}
## @param nodeSelector Node labels for pod assignment. Evaluated as a template.
## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/
##
nodeSelector: {}
## @param tolerations Tolerations for pod assignment. Evaluated as a template.
## ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
##
tolerations: []
## @param updateStrategy.type Pytorch statefulset strategy type
## ref: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#update-strategies
##
updateStrategy:
  ## StrategyType
  ## Can be set to RollingUpdate or OnDelete
  ##
  type: RollingUpdate
## @param podManagementPolicy Statefulset Pod management policy, it needs to be Parallel to be able to complete the cluster join
## Ref: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#pod-management-policies
##
podManagementPolicy: OrderedReady
## @param priorityClassName Pytorch pods' priorityClassName
##
priorityClassName: ""
## @param topologySpreadConstraints Topology Spread Constraints for pod assignment spread across your cluster among failure-domains. Evaluated as a template
## Ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/#spread-constraints-for-pods
##
topologySpreadConstraints: []
## @param schedulerName Name of the k8s scheduler (other than default) for Pytorch pods
## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/
##
schedulerName: ""
## @param terminationGracePeriodSeconds Seconds Redmine pod needs to terminate gracefully
## ref: https://kubernetes.io/docs/concepts/workloads/pods/pod/#termination-of-pods
##
terminationGracePeriodSeconds: ""
## @param lifecycleHooks for the Pytorch container(s) to automate configuration before or after startup
##
lifecycleHooks: {}
## @param extraEnvVars Array with extra environment variables to add to Pytorch nodes
## e.g:
## extraEnvVars:
##   - name: FOO
##     value: "bar"
##
extraEnvVars: []
## @param extraEnvVarsCM Name of existing ConfigMap containing extra env vars for Pytorch nodes
##
extraEnvVarsCM: ""
## @param extraEnvVarsSecret Name of existing Secret containing extra env vars for Pytorch nodes
##
extraEnvVarsSecret: ""
## @param extraVolumes Optionally specify extra list of additional volumes for the Pytorch pod(s)
##
extraVolumes: []
## @param extraVolumeMounts Optionally specify extra list of additional volumeMounts for the Pytorch container(s)
##
extraVolumeMounts: []
## @param sidecars Add additional sidecar containers to the Pytorch pod(s)
## e.g:
## sidecars:
##   - name: your-image-name
##     image: your-image
##     imagePullPolicy: Always
##     ports:
##       - name: portname
##         containerPort: 1234
##
sidecars: []
## @param initContainers Add additional init containers to the %%MAIN_CONTAINER_NAME%% pod(s)
## ref: https://kubernetes.io/docs/concepts/workloads/pods/init-containers/
## e.g:
## initContainers:
##  - name: your-image-name
##    image: your-image
##    imagePullPolicy: Always
##    command: ['sh', '-c', 'echo "hello world"']
##
initContainers: []
## Pod Disruption Budget configuration
## ref: https://kubernetes.io/docs/tasks/run-application/configure-pdb
## @param pdb.create Enable/disable a Pod Disruption Budget creation
## @param pdb.minAvailable Minimum number/percentage of pods that should remain scheduled
## @param pdb.maxUnavailable Maximum number/percentage of pods that may be made unavailable. Defaults to `1` if both `pdb.minAvailable` and `pdb.maxUnavailable` are empty.
##
pdb:
  create: true
  minAvailable: ""
  maxUnavailable: ""
## Service Account
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/
##
serviceAccount:
  ## @param serviceAccount.create Enable creation of ServiceAccount for Pytorch pod
  ##
  create: true
  ## @param serviceAccount.name The name of the ServiceAccount to use.
  ## If not set and create is true, a name is generated using the common.names.fullname template
  ##
  name: ""
  ## @param serviceAccount.automountServiceAccountToken Allows auto mount of ServiceAccountToken on the serviceAccount created
  ## Can be set to false if pods using this serviceAccount do not need to use K8s API
  ##
  automountServiceAccountToken: false
  ## @param serviceAccount.annotations Additional custom annotations for the ServiceAccount
  ##
  annotations: {}
## @section Traffic Exposure Parameters
##

## Service for the scheduler node
##
service:
  ## @param service.type Kubernetes service type
  ##
  type: ClusterIP
  ## service.port DEPRECATED Use service.ports.pytorch instead
  ##
  ## port: 49875
  ## @param service.ports.pytorch Scheduler Service port
  ##
  ports:
    pytorch: 49875
  ## Node ports to expose
  ## service.nodePort DEPRECATED Use service.nodePorts.pytorch instead
  ##
  ## nodePort: ""
  ## @param service.nodePorts.pytorch Node port for Pytorch
  ## NOTE: choose port between <30000-32767>
  ##
  nodePorts:
    pytorch: ""
  ## @param service.clusterIP Pytorch service Cluster IP
  ## e.g.:
  ## clusterIP: None
  ##
  clusterIP: ""
  ## @param service.loadBalancerIP Pytorch service Load Balancer IP
  ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-loadbalancer
  ##
  loadBalancerIP: ""
  ## @param service.loadBalancerSourceRanges Pytorch service Load Balancer sources
  ## ref: https://kubernetes.io/docs/tasks/access-application-cluster/configure-cloud-provider-firewall/#restrict-access-for-loadbalancer-service
  ## e.g:
  ## loadBalancerSourceRanges:
  ##   - 10.10.10.0/24
  ##
  loadBalancerSourceRanges: []
  ## @param service.externalTrafficPolicy Pytorch service external traffic policy
  ## ref http://kubernetes.io/docs/tasks/access-application-cluster/create-external-load-balancer/#preserving-the-client-source-ip
  ##
  externalTrafficPolicy: Cluster
  ## @param service.annotations Additional custom annotations for Pytorch service
  ##
  annotations: {}
  ## @param service.extraPorts Extra ports to expose in Pytorch service (normally used with the `sidecars` value)
  ##
  extraPorts: []
  ## @param service.sessionAffinity Control where client requests go, to the same pod or round-robin
  ## Values: ClientIP or None
  ## ref: https://kubernetes.io/docs/concepts/services-networking/service/
  ##
  sessionAffinity: None
  ## @param service.sessionAffinityConfig Additional settings for the sessionAffinity
  ## sessionAffinityConfig:
  ##   clientIP:
  ##     timeoutSeconds: 300
  ##
  sessionAffinityConfig: {}
  ## Headless service properties
  ##
  headless:
    ## @param service.headless.annotations Annotations for the headless service.
    ##
    annotations: {}
## Network Policies
## Ref: https://kubernetes.io/docs/concepts/services-networking/network-policies/
##
networkPolicy:
  ## @param networkPolicy.enabled Specifies whether a NetworkPolicy should be created
  ##
  enabled: true
  ## @param networkPolicy.allowExternal Don't require server label for connections
  ## The Policy model to apply. When set to false, only pods with the correct
  ## server label will have network access to the ports server is listening
  ## on. When true, server will accept connections from any source
  ## (with the correct destination port).
  ##
  allowExternal: true
  ## @param networkPolicy.allowExternalEgress Allow the pod to access any range of port and all destinations.
  ##
  allowExternalEgress: true
  ## @param networkPolicy.extraIngress [array] Add extra ingress rules to the NetworkPolicy
  ## e.g:
  ## extraIngress:
  ##   - ports:
  ##       - port: 1234
  ##     from:
  ##       - podSelector:
  ##           - matchLabels:
  ##               - role: frontend
  ##       - podSelector:
  ##           - matchExpressions:
  ##               - key: role
  ##                 operator: In
  ##                 values:
  ##                   - frontend
  extraIngress: []
  ## @param networkPolicy.extraEgress [array] Add extra ingress rules to the NetworkPolicy
  ## e.g:
  ## extraEgress:
  ##   - ports:
  ##       - port: 1234
  ##     to:
  ##       - podSelector:
  ##           - matchLabels:
  ##               - role: frontend
  ##       - podSelector:
  ##           - matchExpressions:
  ##               - key: role
  ##                 operator: In
  ##                 values:
  ##                   - frontend
  ##
  extraEgress: []
  ## @param networkPolicy.ingressNSMatchLabels [object] Labels to match to allow traffic from other namespaces
  ## @param networkPolicy.ingressNSPodMatchLabels [object] Pod labels to match to allow traffic from other namespaces
  ##
  ingressNSMatchLabels: {}
  ingressNSPodMatchLabels: {}
## @section Init Container Parameters
##

## Bitnami git image version
## ref: https://hub.docker.com/r/bitnami/git/tags/
## @param git.registry [default: REGISTRY_NAME] Git image registry
## @param git.repository [default: REPOSITORY_NAME/git] Git image repository
## @skip git.tag Git image tag (immutable tags are recommended)
## @param git.digest Git image digest in the way sha256:aa.... Please note this parameter, if set, will override the tag
## @param git.pullPolicy Git image pull policy
## @param git.pullSecrets Specify docker-registry secret names as an array
##
git:
  registry: docker.io
  repository: bitnami/git
  tag: 2.45.1-debian-12-r0
  digest: ""
  pullPolicy: IfNotPresent
  ## Optionally specify an array of imagePullSecrets.
  ## Secrets must be manually created in the namespace.
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
  ## Example:
  ## pullSecrets:
  ##   - myRegistryKeySecretName
  ##
  pullSecrets: []
## 'volumePermissions' init container parameters
## Changes the owner and group of the persistent volume mount point to runAsUser:fsGroup values
##   based on the *podSecurityContext/*containerSecurityContext parameters
##
volumePermissions:
  ## @param volumePermissions.enabled Enable init container that changes volume permissions in the data directory (for cases where the default k8s `runAsUser` and `fsUser` values do not work)
  ##
  enabled: false
  ## @param volumePermissions.image.registry [default: REGISTRY_NAME] Init container volume-permissions image registry
  ## @param volumePermissions.image.repository [default: REPOSITORY_NAME/os-shell] Init container volume-permissions image repository
  ## @skip volumePermissions.image.tag Init container volume-permissions image tag (immutable tags are recommended)
  ## @param volumePermissions.image.digest Init container volume-permissions image digest in the way sha256:aa.... Please note this parameter, if set, will override the tag
  ## @param volumePermissions.image.pullPolicy Init container volume-permissions image pull policy
  ## @param volumePermissions.image.pullSecrets Specify docker-registry secret names as an array
  ##
  image:
    registry: docker.io
    repository: bitnami/os-shell
    tag: 12-debian-12-r21
    digest: ""
    pullPolicy: IfNotPresent
    ## Optionally specify an array of imagePullSecrets.
    ## Secrets must be manually created in the namespace.
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
    ## Example:
    ## pullSecrets:
    ##   - myRegistryKeySecretName
    ##
    pullSecrets: []
  ## Init container' resource requests and limits
  ## ref: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
  ## We usually recommend not to specify default resources and to leave this as a conscious
  ## choice for the user. This also increases chances charts run on environments with little
  ## resources, such as Minikube. If you do want to specify resources, uncomment the following
  ## lines, adjust them as necessary, and remove the curly braces after 'resources:'.
  ## @param volumePermissions.resourcesPreset Set container resources according to one common preset (allowed values: none, nano, micro, small, medium, large, xlarge, 2xlarge). This is ignored if volumePermissions.resources is set (volumePermissions.resources is recommended for production).
  ## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15
  ##
  resourcesPreset: "nano"
  ## @param volumePermissions.resources Set container requests and limits for different resources like CPU or memory (essential for production workloads)
  ## Example:
  ## resources:
  ##   requests:
  ##     cpu: 2
  ##     memory: 512Mi
  ##   limits:
  ##     cpu: 3
  ##     memory: 1024Mi
  ##
  resources: {}
## @section Persistence Parameters
##

## Enable persistence using Persistent Volume Claims
## ref: https://kubernetes.io/docs/concepts/storage/persistent-volumes/
##
persistence:
  ## @param persistence.enabled Enable persistence using Persistent Volume Claims
  ##
  enabled: true
  ## @param persistence.mountPath Path to mount the volume at.
  ##
  mountPath: /bitnami/pytorch
  ## @param persistence.subPath The subdirectory of the volume to mount to, useful in dev environments and one PV for multiple services
  ##
  subPath: ""
  ## @param persistence.storageClass Storage class of backing PVC
  ## If defined, storageClassName: <storageClass>
  ## If set to "-", storageClassName: "", which disables dynamic provisioning
  ## If undefined (the default) or set to null, no storageClassName spec is
  ##   set, choosing the default provisioner.  (gp2 on AWS, standard on
  ##   GKE, AWS & OpenStack)
  ##
  storageClass: ""
  ## @param persistence.annotations Persistent Volume Claim annotations
  ##
  annotations: {}
  ## @param persistence.accessModes Persistent Volume Access Modes
  ##
  accessModes:
    - ReadWriteOnce
  ## @param persistence.size Size of data volume
  ##
  size: 8Gi
  ## @param persistence.existingClaim The name of an existing PVC to use for persistence
  ##
  existingClaim: ""
  ## @param persistence.selector Selector to match an existing Persistent Volume for Pytorch data PVC
  ## If set, the PVC can't have a PV dynamically provisioned for it
  ## E.g.
  ## selector:
  ##   matchLabels:
  ##     app: my-app
  ##
  selector: {}
  ## @param persistence.dataSource Custom PVC data source
  ##
  dataSource: {}