The package is just subdir by the way. So it should not be in installed packages anyways, right?

So I have to specify it on every clearml-agent in the respective clearml.conf?

Okay, it seems like it just takes some time to delete and to reflect in the WebUI. So when I try to delete again, actually a deletion process seems already to be running in the background.

You can add and remove clearml-agents to/from the clearml-server anytime.

And then?

btw: why is agent.package_manager and agent attribute. Imo it does not make sense because conda can install pip packages, but pip cannot install conda packages which can lead to install failures, right?

I will create a minimal example.

AgitatedDove14 Thank you, that explains it.

Thank you! I agree with CostlyOstrich36 that is why I meant false sense of security 🙂
Thank you SuccessfulKoala55 so actually only the file-server needs to be secured.

drwxr-xr-x 10 root root 4096 Jul 31  2020 .
drwxr-xr-x 14 root root 4096 Jul 31  2020 ..
drwxr-xr-x  2 root root 4096 Feb  4 13:52 bin
drwxr-xr-x  2 root root 4096 Jul 31  2020 etc
drwxr-xr-x  2 root root 4096 Jul 31  2020 games
drwxr-xr-x  2 root root 4096 Jul 31  2020 include
drwxr-xr-x  4 root root 4096 Feb  3 13:40 lib
lrwxrwxrwx  1 root root    9 Dez 10 14:29 man -> share/man
drwxr-xr-x  2 root root 4096 Jul 31  2020 sbin
drwxr-xr-x  7 root root 4096 Jul 31  2020 share
drwxr-xr-x  ...

Quick question: Where again does clearml place the venv? I wanna take a look into it after the task has failed

Yea, give me a minute.

One more thing: The cuda_version that clearml finds automatically is wrong.

My driver says "CUDA Version: 11.2" (I am not even sure this is correct, since I do not remember installing code in this machine, but idk) and there is no pytorch for 11.2, so maybe it fallbacks to cpu?

end file?

The task already contains this

I get 110 but it should be 111

But I do not have anything linked correctly since I rely in conda installing cuda/cudnn for me

ok, thanks!

Perfect, will try it. fyi: The conda_channels that I used are from clearml-agent init

This my environment installed from env file. Training works just fine here:

Okay.

From the logs when ran with --foreground I I do not see any conda create command.

Thanks! 🙂

So if understand correctly, something like this should work?

task = Task.init(...) task.connect_configuration( {"agent.package_manager.system_site_packages": False} ) task.execute_remotely(queue_name, clone=False, exit_process=True)

sure

Sure, I ll try this

Version 0.17.2 it says

I do not have a global cuda install on this machine. Everything except for the driver is installed via conda.

The ordering of the channels seems to matter!