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CLI Commands Examples | Run:ai Documentation

1. Reference
2. CLI Reference

This section provides examples of popular use cases illustrating how to use the Command Line Interface (CLI).

You can log in from the UI, if you are using SSO or credentials

runai project set "project-name"

Use the commands below to provide a name for a workload.

runai workspace submit my-workload-name -p test -i ubuntu 

runai workspace submit -p test -i ubuntu 

runai workspace submit --prefix-name my-prefix-workload-name -p test -i ubuntu 

runai workspace submit -p test -i ubuntu --label name=value --label name2=value2

runai workspace submit -p test -i ubuntu --annotation name=value --annotation name2=value2

runai workspace submit -p test -i ubuntu -e name=value -e name2=value2

runai workspace submit  -p "project-name" -i runai.jfrog.io/demo/quickstart-demo   --cpu-core-request 0.3 --cpu-core-limit 1 --cpu-memory-request 50M --cpu-memory-limit 1G  --gpu-devices-request 1 --gpu-memory-request 1G

runai workspace submit  -p "project-name" -i python  --attach -- python3

runai workspace submit --image jupyter/scipy-notebook -p "project-name" --gpu-devices-request 1 --external-url container=8888 --name-prefix jupyter --command -- start-notebook.sh --NotebookApp.base_url='/${RUNAI_PROJECT}/${RUNAI_JOB_NAME}' --NotebookApp.token=''

runai tensorflow submit --workers=5 --no-master -g 1 -i kubeflow/tf-mnist-with-summaries:latest -p "project-name" --command -- python /var/tf_mnist/mnist_with_summaries.py --max_steps 1000000

runai training submit  -i alpine -p test --parallelism 2 --completions 2  -- sleep 100000

runai training pytorch submit  -p "project-name" -i nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu20.04 -g 1 --workers 3 --command -- bash -c 'trap : TERM INT; sleep infinity & wait'

runai training pytorch bash pytorch-06027b585626 -p "project-name"

runai  mpi submit dist1 --workers=2 -g 1 \
    -i runai.jfrog.io/demo/quickstart-distributed:v0.3.0 -e RUNAI_SLEEP_SECS=60 -p "project-name"

New PVCs will be deleted when the workload is deleted

runai workspace submit -i ubuntu --new-pvc claimname=yuval-3,size=10M,path=/tmp/test

New ephemeral PVCs will be deleted when the workload is deleted or paused

runai workspace submit -i ubuntu --new-pvc claimname=yuval2,size=10M,path=/tmp/test,ephemeral

Existing PVCs will not be deleted when the workload is deleted

runai workspace submit -i ubuntu --existing-pvc claimname=test-pvc-2-project-mn2xs,path=/home/test

--command flag and -- are set both leader (master) and workers command/arguments

--master-args flag sets the master arguments

--master-command flag sets the master commands with arguments

--master-args and --master-command flags can be set together

runai pytorch submit -i ubuntu -- -a argument_a -b argument_b -c

runai pytorch submit -i ubuntu --command -- python -m pip install

runai pytorch submit -i ubuntu --master-args "-a master_arg_a -b master-arg_b'" -- '-a worker_arg_a'

runai pytorch submit -i ubuntu --master-command "python_master -m pip install'" --command -- 'python_worker -m pip install'

Submitting a distributed workload with a policy to clean:

runai mpi submit --clean-pod-policy All -i nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu20.04 -g 1

runai project list --yaml

For the full guide of the CLI syntax, see the CLI reference.

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