tum-p3dcv/tum-cluster-config.yaml at feat/add-fish-eye-cams · EmreKaratopuk/tum-p3dcv · GitHub

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protocolVersion: 2
name: nerfstudio_b5b9de27
type: job
jobRetryCount: 0
prerequisites:
  - type: dockerimage
    uri: 'ghcr.io/nerfstudio-project/nerfstudio:1.1.5'
    name: docker_image
taskRoles:
  taskrole:
    instances: 1
    completion:
      minFailedInstances: 1
    taskRetryCount: 0
    dockerImage: docker_image
    resourcePerInstance:
      gpu: 1
      cpu: 4
      memoryMB: 30000
      ports:
        jupyter: 1
    nodeSelectionPerInstance:
      - key: kubernetes.io/hostname
        operator: In
        values:
          - node13.garching.cluster.campar.in.tum.de   # RTX 3090
          - node14.garching.cluster.campar.in.tum.de   # RTX 3090
          - node05.garching.cluster.campar.in.tum.de   # RTX 2080-Ti
          - node12.garching.cluster.campar.in.tum.de   # RTX 2080
          - node08.garching.cluster.campar.in.tum.de   # RTX 2080-Ti
          - node10.garching.cluster.campar.in.tum.de   # RTX 2080-Ti
    commands:
      - sleep infinity
defaults:
  virtualCluster: default
extras:
  com.microsoft.pai.runtimeplugin:
    - plugin: ssh
      parameters:
        jobssh: true
        userssh:
          type: custom
          value: ''
    - plugin: teamwise_storage
      parameters:
        storageConfigNames:
          - ceph-datasets
          - ceph-projects
          - ceph-scratch
  jobStatusChangeNotification:
    running: false
    succeeded: false
    stopped: false
    failed: true
    retried: false