In the case of api call,
given that i have id of the task I want to stop, I would make a post request to [CLEARML_SERVER_URL]:8080/tasks.stop
with the request body set up like the one mentioned in the api?
Is there a code example for this.
I was going through the python api and the closest thing that resembled to my use case was task.close() however it didn't do anything.
Is there a quicker way to abort all running experiments in a project? I have over a thousand running anonymous data tasks in a specific project and I want to abort them before debugging them.
We are adding "select" all in the next UI version to do that as quickly as possible 🙂
Even though I ended my schedulers and triggers, the anonymous tasks keep increasing.
I have a lot of anonymous tasks running which I would like to close immediately.
As of yet, I can only select ones that are visible and to select more, i'll have to click on view more, which gets extremely slow.
Can you give me an example url for the api call to stop_many?
VexedCat68 , you can iterate through all 'running' tasks in a project and abort them through the api. The endpoint is tasks.stop
My bad, it's tasks.stop
https://clear.ml/docs/latest/docs/references/api/tasks#post-tasksstop