The job itself doesnโt have any other param
I am running from noebook and cell has returned
Well the Task will close when you shut down the notebook ๐
Yeah, Curious - is a lot of clearml usecases not geared for notebooks?
It completed after the max_job limit (10)
Yep this is optuna "testing the water"
The Optimizer task is taking a lot of time to complete. Is it doing something here:
You mean the job with the exact same arguments ?
do you have other arguments you are passing ?
Are you using Optuna / HBOB ?
Tried context provider for Task?
I guess that would only make sense inside notebooks ?!
just that the task itself is still Running state
The "Optimizer task" will continue to run as long as there are sub-Tasks it launched.
Is anything else running/pending ?
Ok, just my ignorance then?ย
LOL, no it is just that with a single discrete parameter the strategy makes less sense ๐
So this is optuna ๐ the idea is it will test which parameters have potential (with early stopping), then launch a subset of the selected parameters
how do you see things being used as the most normal way?
I am running from noebook and cell has returned
Yeah, Curious - is a lot of clearml usecases not geared for notebooks?
That is somewhat correct, notebooks are not actually used with a lot of deep-learning projects as they require entire repository to support.
I guess generally speaking the workflow is, "test your code" (i.e. small scale with limited data), then clone and enqueue for remote execution.
That said, I think it will be great to expand the support.
TrickySheep9 I like the idea of context for Tasks, can you expand on how this is used as part of a (jupyter) workflow ?
Notice Optuna will do TPE & hyper band Bayesian optimization to find the best combination
You mean the job with the exact same arguments ?
Yes
Ah ok thereโs only optimizer.stop in the example