Hello again and sorry fo the delay,
I tried what you have told me and got it to work but one issue i have is that i want to use ssh when cloning the repo:

clearml-task --project name --name task_name --repo git@gitlab.com:username/project.git --commit commit_sha  --script path/to/script.py --queue queueThis doesn't work saying that :

Error: Script entrypoint file mailto:/home/usename/git@gitlab.com :username/project.git/path/to/script.py' could not be found.

Thank you, i will try it and ping you later , many thanks

Use the -v option 🙂

ClearML looks for this file in the home folder (i.e. ~ )

Hi AgitatedTurtle16 ,
For (1), It sounds as if the ClearML SDK running inside the docker simply can't find the clearml.conf configuration file

Are you running a ClearML Agent on your DGX?

Make sense?

For configuring a specific docker image to use when running tasks in the ClearML Agent Docker mode, see default_docker here: https://allegro.ai/clearml/docs/docs/deploying_clearml/clearml_agent_install_configure.html#adding-clearml-agent-to-a-configuration-file

See here: https://allegro.ai/clearml/docs/docs/use_cases/clearml_agent_use_case_examples.html#running-workers

So the flow, if you want to use clearml-task , is as follows:
You install ClearML Agent on your worker machine (DGX, in your case). The agent monitors the ClearML Server for a specific queue(s) and wait for tasks to be enqueued there. The Agent should be configured with the correct clearml.conf file in order to be able to access the server. You use clearml-task to create new tasks. clearml-task will create a task as you specify, and will enqueue it to the queue of your choice. The Agent will pick up the task, and start executing it on the machine, using the same configuration file you provided to the agent

clearml-task will create the task, than you should have an Agent to execute it - as long as the agent has the correct configuration, it would work

Exactly 🙂

Thank you for the quick response, then should i mount the file clearml.conf inside the container ?

Thank you it worked. so i am half way through.
Is there a solution where i can use the clearml-task command directly? it would help to kick the experiment from the gitlab ci.

clearml-task --project ++ --name ++ --docker ++ -- --script ++

I don't think it is possible right ? giving that i should mount the config file every time ?

Yes

The ClearML agent can be configured to run in docker mode, meaning it will run tasks inside docker containers (you can specify which docker container the agent will use when running the tasks)

As for (2), I'm not sure I understand the use-case - when using ClearML Agent, the agent will take experiments waiting in a queue, so I'm not sure I understand your intention when you first run the agent and than run the docker manually next to it

This is consistent with the
ClearML results page: etc etcmessage since the default mode for ClearML is using the demo server if no other server is configured

how can i do that ? honestly i am confused as how to make it work in my case.

AgitatedTurtle16 could you check with the latest clearml RC (I remember a similar issue was fixed).
pip install clearml==0.17.5rc3Then run again
clearml-task ...