CHART NAME: {{ .Chart.Name }}
CHART VERSION: {{ .Chart.Version }}
APP VERSION: {{ .Chart.AppVersion }}

⚠ WARNING: Since August 28th, 2025, only a limited subset of images/charts are available for free.
    Subscribe to Bitnami Secure Images to receive continued support and security updates.
    More info at https://bitnami.com and https://github.com/bitnami/containers/issues/83267

** Please be patient while the chart is being deployed **

{{- if .Values.diagnosticMode.enabled }}
The chart has been deployed in diagnostic mode. All probes have been disabled and the command has been overwritten with:

  command: {{- include "common.tplvalues.render" (dict "value" .Values.diagnosticMode.command "context" $) | nindent 4 }}
  args: {{- include "common.tplvalues.render" (dict "value" .Values.diagnosticMode.args "context" $) | nindent 4 }}

Get the list of pods by executing:

  kubectl get pods --namespace {{ include "common.names.namespace" . }} -l app.kubernetes.io/instance={{ .Release.Name }}

Access the pod you want to debug by executing

  kubectl exec --namespace {{ include "common.names.namespace" . }} -ti <NAME OF THE POD> -- bash

In order to replicate the container startup scripts execute this command:

    %%ENTRYPOINT and CMD from main container%%

{{- else }}

{{- if or (.Values.configMap) (.Files.Glob "files/*") (.Values.cloneFilesFromGit.enabled) }}
{{- if .Values.entrypoint.file }}
The provided file {{ .Values.entrypoint.file }} is being executed. You can see the logs of each running node with:
    kubectl logs [POD_NAME]

and the list of pods:
    kubectl get pods --namespace {{ .Release.Namespace }} -l "app.kubernetes.io/name={{ include "common.names.name" . }},app.kubernetes.io/instance={{ .Release.Name }}"
{{- else }}
You didn't specify any entrypoint to your code.
To run it, you can either deploy again using the `pytorch.entrypoint.file` option to specify your entrypoint, or execute it manually by jumping into the pods:

1. Get the running pods
    kubectl get pods --namespace {{ .Release.Namespace }} -l "app.kubernetes.io/name={{ include "common.names.name" . }},app.kubernetes.io/instance={{ .Release.Name }}"

2. Get into a pod
    kubectl exec -ti [POD_NAME] bash

3. Execute your script as you would normally do.
{{- end }}
{{- else }}
WARNING: You haven't loaded any file. You can access the Python REPL by jumping into the pods:

1. Get the running pods
    kubectl get pods --namespace {{ .Release.Namespace }} -l "app.kubernetes.io/name={{ include "common.names.name" . }},app.kubernetes.io/instance={{ .Release.Name }}"

2. Run the Python REPL
    kubectl exec -ti [POD_NAME] python

This chart allows three different methods to load your files:

1. Load the files from an existing ConfigMap, using the `configMap` option.
2. Putting your files in a `files` folder in the root of the Chart.
3. Cloning a Git repository with the `cloneFilesFromGit` option.

Examples for the different methods can be found in the README.
{{- end }}
{{- end }}

{{ include "pytorch.validateValues" . }}
{{ include "pytorch.checkRollingTags" . }}
{{- include "common.warnings.resources" (dict "sections" (list "" "volumePermissions") "context" $) }}
{{- include "common.warnings.modifiedImages" (dict "images" (list .Values.image .Values.git .Values.volumePermissions.image) "context" $) }}
{{- include "common.errors.insecureImages" (dict "images" (list .Values.image .Values.git .Values.volumePermissions.image) "context" $) }}