ReassuredTiger98 regrading the agent error, can you see the package some_packge in the "Installed Packages" in the UI? Was it installed ? are you using pip or conda as package manager in the agent (check the clearml.conf) is the agent running in docker mode ?

Ohh, sure then editing git config will solve it.
btw: why would you need to do that, the agent knows how to do this conversion on the fly

ReassuredTiger98
Okay, but you should have had the prints ...
uploading artifactand
done uploading artifactSo I suspect something is going on with the agent.
Did you manage to run any experiment on this agent ?

EDIT: Can you try with artifacts example we have on the repo:
https://github.com/allegroai/clearml/blob/master/examples/reporting/artifacts.py

Hi @<1541954607595393024:profile|BattyCrocodile47>
This looks like a docker issue running on mac m2
None
wdyt?

Hmmm, are you running inside pycharm, or similar ?

Correct 🙂

client

Seems like passing the Task object is not working as expected (I'll make sure it is fixed).
Try:
dataset._task.set_parent(Task.current_task().id)

If i were to push the private package to, say artifactory, is it possible to use that do the install?

Yes that's the recommended way 🙂
You add the private repo here, for the agent to use:
https://github.com/allegroai/clearml-agent/blob/e93384b99bdfd72a54cf2b68b3991b145b504b79/docs/clearml.conf#L65

Hi @<1523706645840924672:profile|VirtuousFish83>
Hmm so generally I think the answer is no... I mean you can download all scalars and re-report them with a different title/series, but I think you will not be able to delete a specific set, and the only way would be to reset the entire Task.
I'm curious what's the scenario here? is it like a typo you want to fix?

could it be the polling on the Task (can't remember whats the interval), but it will update it's state once every X minutes/seconds

Hi OutrageousGrasshopper93
which framework are you using? trains-agent will pull the correct torch based on the cuda version it detects, but no such thing for TF the default venv mode, trains-agent creates a new venv for the experiment (not conda) then everything is installed there. If you need conda you need to change the package_manager to conda: https://github.com/allegroai/trains-agent/blob/de332b9e6b66a2e7c6736d12614de9870eff48bc/docs/trains.conf#L49 The safest way to control CUDA dri...

Hmm... any idea on what's different with this one ?

Yey!
Out of curiosity, what's the workflow with snowflake?

SmallDeer34 I have to admit this reference is relatively old, maybe we should update to auther http://clearml.ml (would that make sense ?)

ThickDove42 If you need the name itself :
events.plots[0]['metric'] events.plots[0]['variant']

Thanks!
I think this one will cover both case (the issue is with files on the root of the dataset)
if not (fnmatch(k, path) and fnmatch(k if '/' in k else '/{}'.format(k), '*/' + wildcard))}

Hi CooperativeFox72 ,
From the backend guys, long story short, upgrade your machine => more cpu cores , more processes , it is that easy 🙂

I mean the caching will work, but it will reinstall this repository on top of the cached copy.
make sense ?

Hi TrickySheep9
could you verify the fix 😉
!git install git+

Thanks WittyOwl57 ! let me check

I was just able to reproduce with "localhost"

Thanks BattyLion34 I fixed the code snippet :)

Hmm can you test with the latest RC?
pip install clearml==0.17.6rc1

As we can’t create keys in our AWS due to infosec requirements

Hmmm

Yep it is the scale 🙂 and yes it should appear once you upgrade

Where is darts reporting scalars ?

pip install clearml==0.17.5rc4

BTW: if you could implement _AzureBlobServiceStorageDriver with the new Azure package, it will be great:
Basically update this class:
https://github.com/allegroai/clearml/blob/6c96e6017403d4b3f991f7401e68c9aa71d55aa5/clearml/storage/helper.py#L1620

I see... In the triton pod, when you run it, it should print the combined pbtxt. Can you print both before/after ones? so that we could compare ?