How do you use the new cuda docker container?

Can the tensorflow and pytorch container use the cuda container base instead of requiring cuda to be installed on the base os? And if so would this be used in a multi step build process to make a new container?

Hi @jcwscience, I haven’t tried this but in theory it may be possible if you change the base image to be the CUDA base container instead of the l4t-base container. The base images get set in this script: https://github.com/dusty-nv/jetson-containers/blob/master/scripts/docker_base.sh

Thanks I’ll take a look!