One more question, it looks like clearml is ignoring my base_docker specification in clearml.conf , I have:
` (...) # cat ~/clearml.conf | grep -A 2 default_docker

default_docker: {
# default docker image to use when running in docker mode
image: "clearml-base" but on task exectution I get: Running Task (...) inside default docker: nvidia/cuda:11.2.0-cudnn8-runtime-ubuntu20.04 arguments: ... `

thank you 🙂 !

I restarted clearml after changing the config file as instructed at https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_linux_mac/#restarting

docker-compose -f /opt/clearml/docker-compose.yml down docker-compose -f /opt/clearml/docker-compose.yml up -d

Something like that yes

It’s installing them both, I just got it to ignore installed packages by adding Task.force_requirements_env_freeze(requirements_file='requirements.txt') but I’d like a more general solution (i.e. not have to add that line before every Task.init(..) )

It’s because I have an M1 chip and can’t install the latest tensorflow version locally