Nevermind, figured it out, it was using a cached container for some reason 🙂

Or we need to setup the dependencies every time the experiment is run?

@<1523701205467926528:profile|AgitatedDove14> Regarding the clearml-agent, can we use a currently setup virtualenv by any chance?

Great, will try that, thanks @<1523701205467926528:profile|AgitatedDove14> !

Thanks for your reponse @<1523701205467926528:profile|AgitatedDove14> , this would be from the model. Something like the TYPE_STRING that Triton accepts.

Gotcha, thanks a lot @<1523701205467926528:profile|AgitatedDove14> . One issue that I see is that the Dockerfile inside the agent container is what's being used and doesn't seem like it can be replaced by any of these:

      CLEARML_AGENT_DEFAULT_BASE_DOCKER: "nvidia/cuda:11.6.1-runtime-ubuntu20.04"
      TRAINS_AGENT_DEFAULT_BASE_DOCKER: "nvidia/cuda:11.6.1-runtime-ubuntu20.04"
      TRAINS_DOCKER_IMAGE: "nvidia/cuda:11.6.1-runtime-ubuntu20.04" 

Are we missing something?

I see, trying to A/B test the virtualenv vs docker.