There used to be a good example but it's now missing. I'm not sure what does Use only for automation (externally), otherwise use Task.connect_configuration mean when e.g. looking at Task.set_configuration_object , etc.

Could you clarify a bit, CostlyOstrich36 or AgitatedDove14 ?

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 SDK is fine as it is - I'm more looking at the WebUI at this point

Hm, that seems less than ideal. I was hoping I could pass some CSV locations. I'll try and find a workaround for that. Thanks!

Let me double check, one moment

We're wondering how many on-premise machines we'd like to deprecate. For that, we want to see how often our "on premise" queue is used (how often a task is submitted and run), for how long, how many resources it consumes (on average), etc.

Why not give ClearML read-only access credentials to the repository?

I guess following the example https://github.com/allegroai/clearml/blob/master/examples/advanced/execute_remotely_example.py , it's not clear to me how the server has access to the data loaders location when it hits execute_remotely

Can I subscribe to updates? 😁

So kind of the ability to have more artifact types in "Artifacts" tab, other than Other and OutputModels , etc

Yes

These issues popped when I upgraded to clearml-agent 1.5.0.

I'd like to remove the hidden system tag from a project

Ubuntu 18.04, latest clearml version

Uhhh, but pyproject.toml does not necessarily entail poetry... It's a new Python standard

For now this is okay - no data lost, really - but I'd like to make sure we're not missing any steps in the next upgrade

Of course. We'd like to use S3 backends anyway, I couldn't spot exactly where to configure this in the chart (so it's defined in the individual agent's configuration)

On my remote server..?

It's also sufficient to see StorageManager.list("/data/clear") takes a really long time to return no results

Actually, it appears some elements (scalars, plots, etc) have no migrated by moving mongodb data.
Where are these stored? Any idea @<1523701827080556544:profile|JuicyFox94> ?

Couldn't the agent just come with the toml library? Kinda easy to load up and check if poetry is present then... 🤔

But yes it indeed used poetry correctly, though it would fail in other circumstances

I can scroll sideways but if I open any of the comparison items, I pretty much can only see one experiment's values

Not sure if @<1523701087100473344:profile|SuccessfulKoala55> or @<1523701827080556544:profile|JuicyFox94> maybe knows?

We do not CostlyFox64 , but this is useful for the future 🙂 Thanks!
TimelyPenguin76 I'll have a look, one moment.

Okay, I'll test it out by trying to downgrade to 4.0.0 and then upgrade to 4.1.2
Just to make sure, the chart_ref is allegroai/clearml right? (for some reason we had clearml/clearml and it seems like it previously worked?)

At least as far as I can tell, nothing else has changed on our systems. Previous pip versions would warn about this, but not crash.

Any updates on this? We can't do anything with our K8s since this 404...

Yeps

Maybe this is part of the paid version, but would be cool if each user (in the web UI) could define their own secrets, and a task could then be assigned to some user and use those secrets during boot?

If that's the case, wouldn't it apply across the board? This happens in a single task within ray - the other tasks (I have many in a single run) are fine