Hi @<1577468638728818688:profile|DelightfulArcticwolf22> , it looks like you're trying to update some parameter of a task after it finished running...
Hi John, but the task is running the script code, so how can that be?
Hi John. It turns out that the task that ended was the pipeline step. Apparently since I create the task that I then run with clearml-agent execute, in the step, it has to remain running. I added task.wait_for_status() at the end of the step and now my pipeline works.
I have another question: Do you know if it is possible to use PipelineDecorator.component as a class decorator?
I would suggest adding print outs during the code to better understand when this happens