@<1754676270102220800:profile|AlertReindeer55> , I think what @<1523701087100473344:profile|SuccessfulKoala55> means is that you can set the docker image on the experiment level itself as well. If you go into the "EXECUTION" tab of the experiment, in the container section you might see an image there
@<1523701070390366208:profile|CostlyOstrich36> , my container section is completely empty and unspecified.
The only place I can see "ubuntu:18.04" being specified is in the clearml-agent helm chart defaults ( None ), but the whole point of me runnining --set agentk8sglue.defaultContainerImage="python:3.11-bullseye"
is that it's supposed to override that default
Hi @<1754676270102220800:profile|AlertReindeer55> ,
This:
Executing task id [9296dbfe38384daf958911e9155a8bca]:
repository = git@gitlab.com:<company_git_repo>.git
branch = <branch_name>
version_num = f0052fa186cab812a4aa07c05e088d466eb41ff7
tag =
docker_cmd = ubuntu:18.04
entry_point = main.py
working_dir = scope-ml/scope_mllib/training
Basically says the agent found the ubuntu:18.04
image specified on the task itself , which will always override any default container setting
@<1523701087100473344:profile|SuccessfulKoala55> , where/how is this specified, because we are not setting this image anywhere. We are trying to override with a different image "python:3.11-bullseye". If my current way of overriding is incorrect, what is the correct way of doing this?