Artifact can be anything, that you can use clearml SDK to upload to storage. Which storage is used is defined by your clearml.conf (with its credentials) ClearML web and api server do not store those files

Model is a special artifact: None
Example you have the lineage feature where if you train model B using model A as starting point (aka pre-trained) , and model C from model B, ... The lineage will track modelC was built on...

you should be able to see int the Console tab that show what is happening

1.12.2 because some bug that make fastai lag 2x
1.8.1rc2 because it fix an annoying git clone bug

normally when new package need to be install, it shows up in the Console tab

clearml==1.12.2
clearml_agent v1.8.1rc2

from the logs, it feels like after git clone, it spend minutes without outputting anything. @<1523701205467926528:profile|AgitatedDove14> Do you know what is the agent suppose to do after git clone ?
I guess a check that all packages is installed ? But then with CLEARML_AGENT_SKIP_PYTHON_ENV_INSTALL=1, what is the agent doing ??

I know that git clone and pip verify all installed is normal. But for some reason in Michael screenshot, I don't see those steps ...

that agent is purely optional

the weird thing is that: the GPU 0 seems to be in used as reported by nvtop in the host. But it is 50% slower than when running directly instead of through the clearml-agent ...

oh ... maybe the bottleneck is augmentation in CPU !
But is it normal that the agent don't detect the GPU count and type properly ?

@<1523701087100473344:profile|SuccessfulKoala55> Should I raise a github issue ?

@<1523701087100473344:profile|SuccessfulKoala55> it is set to "all" as :

NV_LIBCUBLAS_VERSION=12.2.5.6-1NVIDIA_VISIBLE_DEVICES=allCLRML_API_SERVER_URL=https://<redacted>HOSTNAME=1b6a5b546a6bNVIDIA_REQUIRE_CUDA=cuda>=12.2 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=qua...

you should be able to test your credential first using something like rclone or azure-cli

@<1523701070390366208:profile|CostlyOstrich36>

how did you deploy your clearml server ?

@<1523701070390366208:profile|CostlyOstrich36> I would like to point to azure blob storage, what kind of url schema should I use ? And also, where do you configure the credential for the ClearML server to access to Azure blob as file_server ? I couldn't find any documentation around this topic 😞
TIA

Just a +1 here. When we use the same name for 3 differents image, the thumbnail show 3 different images, but when clicking on any of them, only one is displayed. No way to display the others

if you are using a self hosted clearml server spin up with docker-compose, then you can just mount your NAS to /opt/clearml/fileserver on the host machine, prior to starting clearml server with docker-compose up

Please refer to here None
The doc need to be a bit clearer: one require a path and not just true/false

Task.export_task() will contains what you are looking for.
In this case ['script']['diff']

wow , did not know that vscode have a http "interface" !!! Make kind of sense as vscode is just a Chrome rendering webpage behind the scene ?

While creating the autoscaler instance I did provide my git credentials, i.e my username and Personal Access Token.

How exactly did you do that ?

I don't have it so I don't know how things are setup and how to pass on credentials in this case

I mean, what happen if I import and use function from another py file ? And that function code changes ?
Or you are expecting code should be frozen and only parameters changes between runs ?

Can you paste here what inside "Installed package" to double check ?

(wrong tab sorry :P)

you may want to share your config (with credential redacted) and the full docker compose start up log ?

are you using the agent docker mode ?

Try to set CLEARML_AGENT_SKIP_PYTHON_ENV_INSTALL=true in the terminal start clearml-agent
See None

depend on how the agent is launched ...