That’s great, will try it out soon (it’s 2.30am here, about to crash 🙂 )

Also the pipeline ran as per this example - https://github.com/allegroai/clearml/blob/master/examples/pipeline/pipeline_controller.py

Any idea why the Pipeline Controller is Running despite the task passing?

Got it, makes sense on that part!

I just called exit(0) in a notebooke and it closed it (the kernel) no exception

could it be the polling on the Task (can't remember whats the interval), but it will update it's state once every X minutes/seconds

This is a Sagemaker notebook instances

Yes I think this is the issue

PipelineController with 1 task. That 1 task passed but the pipeline says running

AgitatedDove14 - tried exit(0) from the notebook and it worked

Maybe related to doing in notebook. Doing a task.close() finished it as expected

Jupyter server v 6.0.3

Any idea why the Pipeline Controller is Running despite the task passing?

What do you mean by "the task passing"

No worries 🙂

This is a Sagemaker notebook instances - Python 3.6.13

Hi TrickySheep9
Hmm I think you are correct, exit remotely will not work inside a jupyter notebook because it will not be able to close it.

I was just revising workflows that might be similar, wdyt?
https://clearml.slack.com/archives/CTK20V944/p1620506210463400?thread_ts=1614234125.066600&cid=CTK20V944

Having a pipeline controller and running actually seems to work as long as i have them as separate notebooks

Ohh then YES!
the Task will be closed by the process, and since the process is inside the Jupyter and the notebook kernel is running, it is still running

Doing this with one step - https://github.com/allegroai/clearml/blob/master/examples/pipeline/pipeline_controller.py

You cannot call exit(0) and kill the kernel from the SageMake notebook

I verified the "exit(0)" error, let me check something

Hmm let me test the call itself.

The console output in the UI says done but the pipeline is still “running”

Just a bit of background, the execute)remotely will kill the current process (after the Task is synced) and enqueue the Task that was created for remote execution. What seems to fail is actually killing the current process. You can just pass exit_process=False

BTW:
TrickySheep9 what's the jupyter version / python version / OS ?

Lot of time had passed though

Hi TrickySheep9
could you verify the fix 😉
!git install git+

Why do you think?