Hey all! I am trying to use the clearml-agent to execute tasks scheduled in the ClearML WebUI, however I have some issues and I was wondering how the Agent works internally to recreate an image. In the console logs for example:
ModuleNotFoundError: No module named 'albumentations' and of course the experiment fails. I'm using explicit task execution to run tasks pulled using the ClearML API client, so I was wondering what's the best way to resolve this issue?

• Do projects have to be containerized manually before using the clearml agent? Can the ClearML agent even use custom images?Further, different projects use different versions of python frequently. I am using a script that uses the ClearML API ( from clearml.backend_api.session.client import APIClient), to read tasks in the queue. The clearml package is just installed in a conda environment with python=3.9, nothing else. For some reason, projects are trying to use this interpreter for executing the pulled tasks. For example, a project that uses a 3.8 binary returns interpreter not found kind of error, and it forces execution using 3.9.
• Is there a way to pull the required version of python for a task? Maybe some API endpoint? This way, execution could be parameterized.Thanks in advance!