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6 × Eureka!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: ... `
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
Something like that yes
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