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?
Hi @<1577468638728818688:profile|DelightfulArcticwolf22> , it looks like you're trying to update some parameter of a task after it finished running...
I would suggest adding print outs during the code to better understand when this happens
Hi John, but the task is running the script code, so how can that be?