Yea, that I knew 😄 But somehow I didn't think about the clearml.conf

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.

Yea, something like this seems to be the best solution.

Thank you very much. I am going to try that.

Okay, great! I just want to run the cleanup services, however I am running into ssh issues so I wanted to restart it to try to debug.

Yea, correct! No problem. Uploading such large artifacts as I am doing seems to be an absolute edge case 🙂

Thank you. Seems like this is not the best solution: https://serverfault.com/questions/132970/can-i-automatically-add-a-new-host-to-known-hosts#comment622492_132973

No problem! I profit so much from clearml 🙂

AgitatedDove14

Also tried conda version 4.7.12. Same problem.

I mean the version which it bases the PyTorch installation on.

Perfect, will do! Thank you

What do you mean?

ca-certificates           2021.1.19            h06a4308_1  
certifi                   2020.12.5        py38h06a4308_0  
cudatoolkit               11.0.221             h6bb024c_0  
ld_impl_linux-64          2.33.1               h53a641e_7  
libedit                   3.1.20191231         h14c3975_1  
libffi                    3.3                  he6710b0_2  
libgcc-ng                 9.1.0                hdf63c60_0  
libstdcxx-ng              9.1.0                hdf63c60_0  
ncurses    ...

Do you know how I can make sure I do not have CUDA or a broken installation installed?

Okay, but are you logs still stored on MinIO with only using sdk.development.default_output_uri ?

But this means the logger will use the default fileserver or not?

@<1576381444509405184:profile|ManiacalLizard2> Maybe you are using the enterprise version with the vault? I suppose the enterprise version is running differently, but I dont have experience with it.
For the open-source version, each clearml-agent is using it's own clearml.conf

Let me try it another time. Maybe something else went wrong.

Wait, nvm. I just tried it again and now it worked.

Just like in the git repo.

Okay. It works now. I don't know what went wrong before. Probably a user error 😅

Perfect! That sounds like a good solution for me.

I will create a minimal example.

Good to know!
I think the current solutions are fine. I will try it first and probably will have some more questions/problems 🙂

test_clearml , so directly from top-level.

Type "help", "copyright", "credits" or "license" for more information.
>>> from clearml_agent.helper.gpu.gpustat import get_driver_cuda_version
>>> get_driver_cuda_version()
'110'

None

@<1523701087100473344:profile|SuccessfulKoala55> Only when I delete on self-hosted.
@<1523712723274174464:profile|LazyFish41> WebApp: 1.10.0-357 • Server: 1.10.0-357 • API: 2.24

This has been happening with every version of clearml-server ever. Most probably there should be a queue in front of ES, so it does not process to many request at the same time?

Thanks a lot. Will try it!