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azure-machine-learning-service

AML run.log() and run.log_list() fail without error

I have a Pipeline with DatabricksSteps each containing:

from azureml.core.run import Run
run = Run.get_context()
#do stuff
run.log(name, val, desc)
run.log_list(name, vals, desc)
run.log_image(title, fig, desc)

Only log_image() seems to work. The image appears in the "images" section of the AML experiment workspace as expected, but the "tracked metrics" and "charts" areas are blank. In an interactive job, run.log() and run.log_list() work as expected. I tested that there is no problem with the arguments by using print() instead of run.log().

Solution

  • Add run.flush() at the end of the script.