TimelyMouse69
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.

TimelyMouse69 Hello, could you help check my above questions? Thanks.

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

Can you elaborate on question #2?
Do you want to reuse a task or something else?

TimelyMouse69 Thanks.
About question #2,
I don't want to reuse a task. I want to temporarily pause or permanently stop this ClearML task so the ClearML task won't record my following experiment (training job).

TimelyMouse69 About the closed status, I'll wait for your response. Thanks!!

Could you test again with
https://clear.ml/docs/latest/docs/references/sdk/task/#mark_completed ?

If I'm 'ot mistaken closed status should only appear when you've used Close ()

TimelyMouse69
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 closed .

TimelyMouse69 Hello, could you help check the above messages ? Thanks.

ScaryBluewhale66 you shouldn't call mark_* on the main task, we're adding this as a notice and in documentation in the next release: https://github.com/allegroai/clearml/issues/830