clearml-helm-charts/charts/clearml-agent/values.yaml

# -- Private image registry configuration
imageCredentials:
  # -- Use private authentication mode
  enabled: false
  # -- If this is set, chart will not generate a secret but will use what is defined here
  existingSecret: ""
  # -- Registry name
  registry: docker.io
  # -- Registry username
  username: someone
  # -- Registry password
  password: pwd
  # -- Email
  email: someone@host.com

# -- ClearMl generic configurations
clearml:
  # -- If this is set, chart will not generate a secret but will use what is defined here
  existingAgentk8sglueSecret: ""
  # -- Agent k8s Glue basic auth key
  agentk8sglueKey: "ACCESSKEY"
  # -- Agent k8s Glue basic auth secret
  agentk8sglueSecret: "SECRETKEY"

  # -- If this is set, chart will not generate a secret but will use what is defined here
  existingClearmlConfigSecret: ""
  # -- ClearML configuration file
  clearmlConfig: |-
    sdk {
    }

# -- This agent will spawn queued experiments in new pods, a good use case is to combine this with
# GPU autoscaling nodes.
# https://github.com/allegroai/clearml-agent/tree/master/docker/k8s-glue
agentk8sglue:
  # -- Glue Agent image configuration
  image:
    repository: "allegroai/clearml-agent-k8s-base"
    tag: "1.24-18"

  # -- Glue Agent number of pods
  replicaCount: 1

  # -- Check certificates validity for evefry UrlReference below.
  clearmlcheckCertificate: true

  # -- Reference to Api server url
  apiServerUrlReference: "https://api.clear.ml"
  # -- Reference to File server url
  fileServerUrlReference: "https://files.clear.ml"
  # -- Reference to Web server url
  webServerUrlReference: "https://app.clear.ml"

  # -- serviceAccountName for pods spawned to consume ClearML Task
  serviceAccountName: default
  # -- maximum concurrent consume ClearML Task pod
  maxPods: 10
  # -- default container image for ClearML Task pod
  defaultContainerImage: ubuntu:18.04
  # -- ClearML queue this agent will consume
  queue: default

  # -- ClearML worker ID (must be unique across the entire ClearMLenvironment)
  id: k8s-agent

  # -- Environment variables to be exposed in the agentk8sglue pods
  extraEnvs: []

  # -- template for pods spawned to consume ClearML Task
  podTemplate:
    # -- volumes definition for pods spawned to consume ClearML Task (example in values.yaml comments)
    volumes: []
      # - name: "yourvolume"
      #   persistentVolumeClaim:
      #     claimName: "yourvolume"
    # -- volumeMounts definition for pods spawned to consume ClearML Task (example in values.yaml comments)
    volumeMounts: []
      # - name: "yourvolume"
      #   mountPath: "/yourpath"
    # -- environment variables for pods spawned to consume ClearML Task (example in values.yaml comments)
    env: []
      # # to setup access to private repo, setup secret with git credentials:
      # - name: CLEARML_AGENT_GIT_USER
      #   value: mygitusername
      # - name: CLEARML_AGENT_GIT_PASS
      #   valueFrom:
      #     secretKeyRef:
      #       name: git-password
      #       key: git-password
    # -- resources declaration for pods spawned to consume ClearML Task (example in values.yaml comments)
    resources: {}
      # limits:
      #   nvidia.com/gpu: 1
    # -- tolerations setup for pods spawned to consume ClearML Task (example in values.yaml comments)
    tolerations: []
      # - key: "nvidia.com/gpu"
      #   operator: Exists
      #   effect: "NoSchedule"
    # -- nodeSelector setup for pods spawned to consume ClearML Task (example in values.yaml comments)
    nodeSelector: {}
      # fleet: gpu-nodes