I guess in theory I could write a run_step.py , similarly to how the pipeline in ClearML works… 🤔 And then use Task.create() etc?

Yes, for example.

But to be fair, I've also tried with python3.X -m pip install poetry etc. I get the same error.

Either one would be nice to have. I kinda like the instant search option, but could live with an ENTER to search.

I opened this meanwhile - https://github.com/allegroai/clearml-server/issues/138

Generally, it would also be good if the pop-up presented some hints about what went wrong with fetching the experiments. Here, I know the pattern is incomplete and invalid. A less advanced user might not understand what's up.

The only thing I could think of is that the output of pip freeze would be a URL?

The Task.init is called at a later stage of the process, so I think this relates again to the whole setup process we've been discussing both here and in #340... I promise to try ;)

It can also log generate a log file with this method, it does not have to output it to CONSOLE tab.

I... did not, ashamed to admit. The documentation says only boolean values.

Yes, exactly. I have not yet had a chance to try this out -- should it work?

I can't seem to manage the first way around. If I select tasks in different projects, I don't get the bottom bar offering to compare between them

For example, can't interact with these two tasks from this view (got here from searching in the dashboard view; they're in different projects):

Heh, good @<1523704157695905792:profile|VivaciousBadger56> 😁
I was just repeating what @<1523701070390366208:profile|CostlyOstrich36> suggested, credits to him

I realized it might work too, but looking for a more definitive answer 😄 Has no-one attempted this? 🤔

I think now there's the following:
Resource type Queue (name) defines resource + max instancesAnd I'm looking for:
Resource type "pool" of resources (type + max instances) A pool can be shared among queues

That sounds about right FrothyDog40

Is there a way to accomplish this right now FrothyDog40 ? 🤔

yes, a lot of moving pieces here as we're trying to migrate to AWS and set up autoscaler and more 😅

I will! (once our infra guy comes back from holiday and updates the install, for some reason they setup server 1.1.1???)

Meanwhile wondering where I got a random worker from

That's probably in the newer ClearML server pages then, I'll have to wait still 😅

Can I query where the worker is running (IP)?

And agent too, I hope..?

I'd be happy to join a #releases channel just for these!

Just randomly decided to check and saw there's a server 1.4 ready 🎉

/subscribe
/takemymoney

On an unrelated note, when cloning an experiment via the WebUI, shouldn't the cloned experiment have the original experiment as a parent? It seems to be empty

Unfortunately not, each task defines and constructs its own dataset. I want cloned task to save that link 🤔

Aw you deleted your response fast CostlyOstrich36 xD

Indeed it does not appear in ps aux so I cannot simply kill it (or at least, find it).
I was wondering if it's maybe just a zombie in the server API or similar

It's removed now, magic of asking for help and doing nothing 😄

Thanks!

Literally just as you said it - it happened

Running a self-hosted server indeed. It's part of a code that simply adds or uploads an artifact 🤔

I wouldn't mind going the requests route if I could find the API end point from the SDK?