Also please expand the 500 errors you're seeing. It should give some log

BitterLeopard33 , ReassuredTiger98 , my bad. I just dug a bit in slack history, I think I got the issue mixed up with long file names 😞

Regarding http/chunking issue/solution - I can't find anything either. Maybe open a github issue / github feature request (for chunking files)

Hit F12 when on the browser 🙂

Hi TrickyFox41 , are you getting some sort of error?

@<1631102016807768064:profile|ZanySealion18> , I think no such capability exists currently. I'd suggest opening a github feature request for this.

And in what section are you setting the environment?

That's the problem. ClearML has to detect the uncommitted changes somehow. This is done while the code itself is running or when running with execute_remotely() . Otherwise, someone has to do a git diff and push it into the task object(database)

Hi @<1714451225295982592:profile|FreshWoodpecker88> , is it possible that you didn't get permissions to the relevant directories to act as the actual storage for mongodb?

What code did you try running? It appears that "services" is the default queue in code. You can create this queue and run an agent against it to execute tasks

Also, can you please give a snippet of what you were trying to do?

Hi @<1523715429694967808:profile|ThickCrow29> , thank you for creating a github issue on this! Makes sense it would be moved to aborted 🙂

Hi @<1585078763312386048:profile|ArrogantButterfly10> , you can fetch a task using it's id. Then with the task object in hand you can find the model in the artifacts section. For ease of use I suggest playing with dir(task) in python

Hi @<1533619734988197888:profile|DistressedSquid12> , what errors are you getting? How are you trying to connect it?

Just set defaults

Hi, can you try deleting your cooking and local memory of the browser?

Hi @<1772433273633378304:profile|VexedWoodpecker50> , these are the packages that were on the environment that ran the experiment. Please see here - None

Can you copy paste the error you got?

What do you get when you call get_configuration_objects() now?

Hi DiminutiveBaldeagle77 ,
Yes - https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_kubernetes_helm/ If you already have K8s cluster it is beneficial since you get scheduling capabilities which are not normally present in K8s

This is how I usually add visualization

#Report data preview
ds.get_logger().report_table(title="Data Sample", series="First Ten Rows", table_plot=data1[:10])
ds.upload()
ds.finalize()

I doubt that would be possible because it looks like the autoscaler versions are global
As a quick workaround you can launch the open source autoscaler until the no-docker capability is available again.
None

Hi UpsetSheep55 ,

Permissions feature is indeed exists only in the enterprise version. There are no examples for this since this an enterprise only feature.

Can you please expand regarding this new TAO and what's the difference to how triton serves at the moment?

Please check what you get for events.debug_images in network section of developer tools (F12) when trying to view the preview in the dataset

Also when in this view, open developer tools (F12) and see what calls you get back for debug samples

Hi ProudElephant77 , you will need to install the agents on that machine. The ClearML server doesn't assume any GPU capabilities since it is only the control plane for ClearML

That sounds like a good idea! Can you please open a GitHub issue to track this?

Hi @<1556450111259676672:profile|PlainSeaurchin97> , I see that is available only in the GUI application that is part of the Scale/Enterprise licenses - None

and if you revert it's all OK? Log wise there is nothing suspicious?

I don't think there is such a capability, but please open a GitHub feature request, I think it would be a cool feature!