Runai distributed submit

runai distributed submit [flags]

runai distributed submit <distributed_name> -p=<project_name> -i=runai.jfrog.io/demo/quickstart -f XGBoost/PyTorch/TF/MPI

      --allow-privilege-escalation                     Allow the job to gain additional privileges after starting
      --annotation stringArray                         Set of annotations to populate into the container running the workspace
      --auto-deletion-time-after-completion duration   The length of time (like 5s, 2m, or 3h, higher than zero) after which a completed job is automatically deleted (default 0s)
      --backoff-limit int                              The number of times the job will be retried before failing
      --capability stringArray                         The POSIX capabilities to add when running containers. Defaults to the default set of capabilities granted by the container runtime.
  -c, --command                                        If true, override the image's entrypoint with the command supplied after '--'
      --configmap-map-volume stringArray               Mount ConfigMap as a volume. Use the fhe format name=CONFIGMAP_NAME,path=PATH
      --cpu-core-limit float                           CPU core limit (e.g. 0.5, 1)
      --cpu-core-request float                         CPU core request (e.g. 0.5, 1)
      --cpu-memory-limit string                        CPU memory limit to allocate for the job (e.g. 1G, 500M)
      --cpu-memory-request string                      CPU memory to allocate for the job (e.g. 1G, 500M)
      --create-home-dir                                Create a temporary home directory. Defaults to true when --run-as-user is set, false otherwise
  -e, --environment stringArray                        Set environment variables in the container
      --existing-pvc stringArray                       Mount an existing persistent volume. Use the format: claimname=CLAIM_NAME,path=PATH
      --extended-resource stringArray                  Request access to an extended resource. Use the format: resource_name=quantity
      --external-url stringArray                       Expose URL from the job container. Use the format: container=9443,url=https://external.runai.com,authusers=user1,authgroups=group1
  -f, --framework string                               The distributed training framework used in the workload.
      --git-sync stringArray                           Specifies git repositories to mount into the container. Use the format: name=NAME,repository=REPO,path=PATH,secret=SECRET,rev=REVISION
  -g, --gpu-devices-request int32                      GPU units to allocate for the job (e.g. 1, 2)
      --gpu-memory-limit string                        GPU memory limit to allocate for the job (e.g. 1G, 500M)
      --gpu-memory-request string                      GPU memory to allocate for the job (e.g. 1G, 500M)
      --gpu-portion-limit float                        GPU portion limit, must be no less than the gpu-memory-request (between 0 and 1, e.g. 0.5, 0.2)
      --gpu-portion-request float                      GPU portion request (between 0 and 1, e.g. 0.5, 0.2)
      --gpu-request-type string                        GPU request type (portion|memory|migProfile)
  -h, --help                                           help for submit
      --host-ipc                                       Whether to enable host IPC. (Default: false)
      --host-network                                   Whether to enable host networking. (Default: false)
      --host-path stringArray                          Volumes to mount into the container. Use the format: path=PATH,mount=MOUNT,mount-propagation=None|HostToContainer,readwrite
  -i, --image string                                   The image for the workload
      --image-pull-policy string                       Set image pull policy. One of: Always, IfNotPresent, Never. Defaults to Always (default "Always")
      --label stringArray                              Set of labels to populate into the container running the workspace
      --large-shm                                      Request large /dev/shm device to mount
      --master-args                                    Arguments to pass to the master pod container command. If used together with --master-command, overrides the image's entrypoint of the master pod container with the given command
      --master-environment stringArray                 Set environment variables in the container
      --master-extended-resource stringArray           Request access to an extended resource. Use the format: resource_name=quantity
      --master-gpu-devices-request int32               GPU units to allocate for the job (e.g. 1, 2)
      --master-gpu-portion-limit float                 GPU portion limit, must be no less than the gpu-memory-request (between 0 and 1, e.g. 0.5, 0.2)
      --master-gpu-portion-request float               GPU portion request (between 0 and 1, e.g. 0.5, 0.2)
      --master-no-pvcs                                 Do not mount any persistent volumes in the master pod
      --max-replicas int32                             Maximum number of replicas for an elastic PyTorch job
      --mig-profile string                             MIG profile to allocate for the job (1g.5gb, 2g.10gb, 3g.20gb, 4g.20gb, 7g.40gb)
      --min-replicas int32                             Minimum number of replicas for an elastic PyTorch job
      --name-prefix string                             Set defined prefix for the workload name and add index as a suffix
      --new-pvc stringArray                            Mount a persistent volume, create it if it does not exist. Use the format: claimname=CLAIM_NAME,storageclass=STORAGE_CLASS,size=SIZE,path=PATH,accessmode-rwo,accessmode-rom,accessmode-rwm,ro,ephemeral
      --nfs stringArray                                s3 storage details. Use the format: path=PATH,server=SERVER,mountpath=MOUNT_PATH,readwrite
      --no-master                                      Do not create a separate pod for the master
      --node-pools stringArray                         List of node pools to use for scheduling the job, ordered by priority
      --node-type string                               Enforce node type affinity by setting a node-type label
      --port stringArray                               Expose ports from the job container. Use the format: service-type=NodePort,container=80,external=8080
      --preferred-pod-topology-key string              If possible, all pods of this job will be scheduled onto nodes that have a label with this key and identical values
  -p, --project string                                 Specify the project to which the command applies. By default, commands apply to the default project. To change the default project use ‘runai config project <project name>’
      --required-pod-topology-key string               Enforce scheduling pods of this job onto nodes that have a label with this key and identical values
      --run-as-group int                               Run in the context of the current CLI group rather than the root group
      --run-as-user int                                Run in the context of the current CLI user rather than the root user
      --s3 stringArray                                 s3 storage details. Use the format: name=NAME,bucket=BUCKET,path=PATH,accesskey=ACCESS_KEY,url=URL
      --seccomp-profile string                         Indicates which kind of seccomp profile will be applied to the container, options: RuntimeDefault|Unconfined|Localhost
      --slots-per-worker int32                         Number of slots to allocate for each worker
      --supplemental-groups string                     Comma seperated list of groups that the user running the container belongs to, in addition to the group indicated by --run-as-gid
      --toleration stringArray                         Toleration details. Use the format: operator=Equal|Exists,key=KEY,[value=VALUE],[effect=NoSchedule|NoExecute|PreferNoSchedule],[seconds=SECONDS]
      --user-group-source string                       Indicate the way to determine the user and group ids of the container, options: fromTheImage|fromIdpToken|fromIdpToken
      --workers int32                                  the number of workers that will be allocated for running the workload
      --working-dir string                             Set the container's working directory

      --config-file string   config file name; can be set by environment variable RUNAI_CLI_CONFIG_FILE (default "config.json")
      --config-path string   config path; can be set by environment variable RUNAI_CLI_CONFIG_PATH (default "~/.runai/")
  -d, --debug                enable debug mode
  -q, --quiet                enable quiet mode, suppress all output except error messages
      --verbose              enable verbose mode