def cancel_runs_in_experiment(ws, experiment):
failed_experiment = Experiment(ws, experiment)
all_runs = failed_experiment.get_runs()
for idx, run in enumerate(all_runs):
try:
if run.status == 'Running':
run = Run(failed_experiment, run.id)
print('Canceling run: ', run)
run.cancel()
except Exception as e:
print('Canceling run failed due to ', e)
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
"""
Cancel pipeline run
"""
from azureml.core.run import Run
from azureml.core import Workspace, Experiment
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--run_id", type=str, help="run id value", required=True)
parser.add_argument("--step_id", type=str, help="step id value", required=True)
args = parser.parse_args()
ws = Workspace.from_config()
experiment = Experiment(workspace=ws,
name="DEV-train-pipeline",
_id=args.run_id)
fetched_run = Run(experiment=experiment, run_id=args.step_id)
fetched_run.cancel()
