Currently I am using the rocm container provided by hub.docker.com, are there any fedora specific containers for machine learning for rocm or cuda?
Since rocm only provides a rhel install method it would be appreciated a silverblue friendly way of using it.
Hello. Unfortunately, we don’t have such container images. Would you want to help us create them? Could you describe what such container should contain?
I was thinking of a toolbox compatible image with features similar of the rocm image provided by docker (and/or the standard tensorflow image). Currently, there is no clear way of doing machine learning on fedora, especially for amd users.
The whole point of machine learning containers is that you don’t need rocm on your host.