Azure Machine Learning pipelines fail due to missing space in optional component arguments when rendering runtime expression #30926
Description
Describe the bug
We try to follow the recommendation of using optional inputs as described here:
https://learn.microsoft.com/en-us/azure/machine-learning/how-to-manage-inputs-outputs-pipeline?view=azureml-api-2&tabs=cli#define-optional-inputs
But our pipeline throw error unrecognized arguments.
Related command
az ml component create -f XXX.yaml
az ml job create -f XXX.yaml
Errors
In our command component, we added
And we got following error from our pipeline job
Error: train.py: error: unrecognized arguments: --max_epocs5
Issue script & Debug output
There is no error when using the cli tool directly.
The error happens when our pipeline in Azure Machine Learning runs.
Expected behavior
No error should exist and optional parameter should be provided correctly.
Environment Summary
azure-cli 2.68.0 *
core 2.68.0 *
telemetry 1.1.0
Extensions:
ml 2.35.0
Dependencies:
msal 1.31.1
azure-mgmt-resource 23.1.1
Python location 'C:\Program Files\Microsoft SDKs\Azure\CLI2\python.exe'
Extensions directory 'C:\Users\z005230u.azure\cliextensions'
Python (Windows) 3.12.8 (tags/v3.12.8:2dc476b, Dec 3 2024, 19:30:04) [MSC v.1942 64 bit (AMD64)]
Additional context
No response