Hi @<1544853721739956224:profile|QuizzicalFox36> , I think the correct method in that case is to run from docker. The agent handles the docker, the only thing is that you need to run the agent in docker mode using --docker
. You can then then pass it in docker_args
in add_function_step
or even better you can add the entire script to the shell script that runs after docker init using docker_bash_setup_script
also in add_function_step
None
Thank you. I was considering this possibility but I hoped for another solution because this would require having multiple agents running on the same machine but in different docker containers for dfferent tasks. I couldn't find how to set up clearml.conf
parameters so that multiple agents could run on same machine with different base images