Hi, the cudnn libraries should be installed in the images used when launching with jobman with the latest-cuda tag. For example:
jobman submit -i ubuntu-python-pytorch:latest-cuda -r small-gpu -- ...
jobman submit -i ubuntu-python-tensorflow:latest-cuda -r small-gpu -- ...
With the option "-i " we indicate to use one of the GPU-ready images (with libraries and tools for it), and with the option "-r " we indicate in which resource we want the job to be launched.
It's possible that you're trying to run on the desktop itself (and not as a job) or with a normal image that does not include these libraries.
If, knowing this, the problem persists, please send us the execution line (with the image used) to our email chaimeleon@quibim.com so that we can reproduce the problem and/or check the image.
Hope we could help!