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We determined that the issue with running the MPI Job example was that the order of operations for installing Kueue and the MPI Operator is important - the MPI operator must be installed first! Once that is done, each of the YAML applied example and the Python example worked. Here we are adding the Python example. Signed-off-by: vsoch <vsoch@users.noreply.github.com>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,143 @@ | ||
| #!/usr/bin/env python3 | ||
|
|
||
| import argparse | ||
| from kubernetes import config, client | ||
| import mpijob.models as models | ||
|
|
||
| # sample-mpijob.py | ||
| # This example will demonstrate full steps to submit a Job via the MPI Operator | ||
|
|
||
| # Make sure your cluster is running! | ||
| config.load_kube_config() | ||
| crd_api = client.CustomObjectsApi() | ||
| api_client = crd_api.api_client | ||
|
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||
|
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| def get_parser(): | ||
| parser = argparse.ArgumentParser( | ||
| description="Submit Kueue MPI Operator Job Example", | ||
| formatter_class=argparse.RawTextHelpFormatter, | ||
| ) | ||
| parser.add_argument( | ||
| "--job-name", | ||
| help="generateName field to set for job (job prefix does not work here)", | ||
| default="pi", | ||
| ) | ||
| parser.add_argument( | ||
| "--image", | ||
| help="container image to use", | ||
| default="mpioperator/mpi-pi:openmpi", | ||
| ) | ||
| parser.add_argument( | ||
| "--command", | ||
| help="command to run", | ||
| default="mpirun", | ||
| ) | ||
| parser.add_argument( | ||
| "--args", | ||
| nargs="+", | ||
| help="args for container", | ||
| default=["-n", "2", "/home/mpiuser/pi"], | ||
| ) | ||
| return parser | ||
|
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| def generate_job_crd(job_name, image, command, args): | ||
| """ | ||
| Generate an equivalent job CRD to sample-job.yaml | ||
| """ | ||
| metadata = client.V1ObjectMeta( | ||
| name=job_name, labels={"kueue.x-k8s.io/queue-name": "user-queue"} | ||
| ) | ||
|
|
||
| # containers for launcher and worker | ||
| launcher_container = client.V1Container( | ||
| image=image, | ||
| name="mpi-launcher", | ||
| command=[command], | ||
| args=args, | ||
| security_context=client.V1SecurityContext(run_as_user=1000), | ||
| resources={ | ||
| "limits": { | ||
| "cpu": 1, | ||
| "memory": "1Gi", | ||
| } | ||
| }, | ||
| ) | ||
|
|
||
| worker_container = client.V1Container( | ||
| image=image, | ||
| name="mpi-worker", | ||
| command=["/usr/sbin/sshd"], | ||
| args=["-De", "-f", "/home/mpiuser/.sshd_config"], | ||
| security_context=client.V1SecurityContext(run_as_user=1000), | ||
| resources={ | ||
| "limits": { | ||
| "cpu": 1, | ||
| "memory": "1Gi", | ||
| } | ||
| }, | ||
| ) | ||
|
|
||
| # Create the Launcher and worker replica specs | ||
| launcher = models.V2beta1ReplicaSpec( | ||
| replicas=1, | ||
| template=client.V1PodTemplateSpec( | ||
| spec=client.V1PodSpec(containers=[launcher_container]) | ||
| ), | ||
| ) | ||
|
|
||
| worker = models.V2beta1ReplicaSpec( | ||
| replicas=2, | ||
| template=client.V1PodTemplateSpec( | ||
| spec=client.V1PodSpec(containers=[worker_container]) | ||
| ), | ||
| ) | ||
|
|
||
| # runPolicy for jobspec | ||
| policy = models.V2beta1RunPolicy( | ||
| clean_pod_policy="Running", ttl_seconds_after_finished=60 | ||
| ) | ||
|
|
||
| # Create the jobspec | ||
| jobspec = models.V2beta1MPIJobSpec( | ||
| slots_per_worker=1, | ||
| run_policy=policy, | ||
| ssh_auth_mount_path="/home/mpiuser/.ssh", | ||
| mpi_replica_specs={"Launcher": launcher, "Worker": worker}, | ||
| ) | ||
| return models.V2beta1MPIJob( | ||
| metadata=metadata, | ||
| api_version="kubeflow.org/v2beta1", | ||
| kind="MPIJob", | ||
| spec=jobspec, | ||
| ) | ||
|
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||
|
|
||
| def main(): | ||
| """ | ||
| Run an MPI job. This requires the MPI Operator to be installed. | ||
| """ | ||
| parser = get_parser() | ||
| args, _ = parser.parse_known_args() | ||
|
|
||
| # Generate a CRD spec | ||
| crd = generate_job_crd(args.job_name, args.image, args.command, args.args) | ||
| crd_api = client.CustomObjectsApi() | ||
|
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||
| print(f"📦️ Container image selected is {args.image}...") | ||
| print(f"⭐️ Creating sample job with prefix {args.job_name}...") | ||
| crd_api.create_namespaced_custom_object( | ||
| group="kubeflow.org", | ||
| version="v2beta1", | ||
| namespace="default", | ||
| plural="mpijobs", | ||
| body=crd, | ||
| ) | ||
| print( | ||
| 'Use:\n"kubectl get queue" to see queue assignment\n"kubectl get jobs" to see jobs' | ||
| ) | ||
|
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|
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| if __name__ == "__main__": | ||
| main() |