There seems to be a discrepancy in the docs I'm trying to figure out and solve.
Most of the statuses are more explained here: https://clear.ml/docs/latest/docs/fundamentals/task/#task-states
Closed isn't yet.
Close is normally for manually closing a task: https://clear.ml/docs/latest/docs/references/sdk/task#close
You'll find more info here: https://clear.ml/docs/latest/docs/clearml_sdk/task_sdk/ and here: https://clear.ml/docs/latest/docs/guides/advanced/multiple_tasks_single_process
Yeah, there is no further explanation about the status of
closed so I'm wondering when it can become
closed . As for my second question, my intention is that no need to update the original task or create a new task for another training. I expect that I can do another training after
task.close() and I won't encounter any issues, but I'm wrong.
Ok. It's strange. After executing
mark_completed() , the kernel of Jupyter is dead. You can see the following image. The three cells (3~5) run at once, then the kernel is dead. I use
task.close() but the status is still
completed , not
Could you test again with