adding cancelling

azure-pipelines/cancel_aml_jobs.py

@@ -37,6 +37,8 @@ def cancel_running_and_queued_jobs() -> None:
  RunStatus.CANCEL_REQUESTED)
  operation = "Cancelling" if do_cancel else "Skipping"
  print(f"{operation} '{run.status}' run {run.id}: ({run.display_name})")
+ if do_cancel:
+ run.cancel()
 
 
 if __name__ == "__main__":

azure-pipelines/cancel_aml_jobs.yml

@@ -8,11 +8,11 @@ steps:
  displayName: Use cached Conda environment AzureML_SDK
  inputs:
  # Beware of changing the cache key or path independently, safest to change in sync
- key: 'usr_share_miniconda_azureml_conda | "$(Agent.OS)" | azure-pipelines/azureml-conda.yml'
+ key: 'usr_share_miniconda_azureml_conda | "$(Agent.OS)" | azure-pipelines/azureml-conda-environment.yml'
  path: /usr/share/miniconda/envs
  cacheHitVar: CONDA_CACHE_RESTORED
 
- - script: conda env create --file azure-pipelines/azureml-conda.yml
+ - script: conda env create --file azure-pipelines/azureml-conda-environment.yml
  displayName: Create Conda environment AzureML_SDK
  condition: eq(variables.CONDA_CACHE_RESTORED, 'false')