Those are cool and very welcome additions (hopefully the additional info in the Info tab will be a link?) 😁

The main issue is the clutter that the forced renaming creates, as shown in the pictures I attached in the other thread.
Why does ClearML hide the dataset task from the main WebUI? Users should have some control over that. If I specified a project for the dataset, I specifically want it there, in that project, not hidden away in some .datasets hidden sub-project. Not...

That would be nice :)

Ah, uhhhh whatever is in the helm/glue charts. I think it’s the allegroai/clearml-agent-k8s-base , but since I hadn’t gotten a chance to try it out, it’s hard to say with certainty which would be the best for us 😛

Of course Im using report_table in the above; it seems the support for Pandas DataFrame does not include support for MultiIndex other than by concatenating the indices together

That's fine (as in, it works), but it looks a bit weird and defies the purpose of a MultiIndex 🤔 Was wondering if there are plans to add better support for it

JitteryCoyote63 please do not get used to it :D there's an open ticket/feature request to either revert this or let the user/server choose the most comfortable way

A follow up question (instead of opening a new thread), is there a way I could signal some files/directories to be copied to the execute_remotely task?

clearml.backend_api.session.defs.ENV_HOST.get() did not work unfortunately 🤔

Or the above;)

Okay trying again without detached

I dunno :man-shrugging: but Task.init is clearly incompatible with pytest and friends

Parquet file in this instance (used to be CSV, but that was even larger as everything is stored as a string...)

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

That's a nice work around of course - I'm sure it works and I'll give it a shot momentarily. I'm just wondering if ClearML could automatically recognize image files in upload_artifact (and other well known suffixes) and do that for me.

It's not exactly "debugging", but rather a description of the generated model/framework (generated with pygraphviz).

Then perhaps mac treats missing environment variables as empty and linux just crashes? Anyway, the config loading should be deferred, shouldn't it?

/subscribe
/takemymoney

That will come at a later stage

Yes exactly that AgitatedDove14
Testing our logic maps correctly, etc for everything related to ClearML

Yeah 🤔 🤔 they did. I'll give your suggested fix a go on Monday!

I'll have yet another look at both the latest agent RC and at the docker-compose, thanks!

There was no "default" services agent btw, just the queue, I had to launch an agent myself (not sure if it's relevant)

I've also followed https://clearml.slack.com/archives/CTK20V944/p1628333126247800 but it did not help

ClearML 1.1.4, Matplotlib 3.3.0 (it's not the latest as we have some backward compatibility issues)

Or well, because it's not geared for tests, I'm just encountering weird shit. Just calling task.close() takes a long time

Interesting, why won’t it be possible? Quite easy to get the source code using e.g. dill .

Oh! Nice! I'll have a go at it and report back at the PR if it's in a functional state 🙂 Thanks AgitatedDove14 !

I’ll give the create_function_task one more try 🤔

Honestly, this is all related to issue #340. The only reason we have this to begin with is because we need one separate "initializer" task that downloads the remote cache and prepares the agent environment for execution (downloading the configuration files, etc).
Otherwise it fits perfectly with pipelines, but we're not there yet.

In the local execution we don't have this initializer task, so we use Task.init() before starting to work on a model, and task.close() when we're done....

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 🎉

I tried that, unfortunately it does not help 😞

Not necessarily on the same branch, no