requires:

• {2023.06}[foss/2023a] CUDA 12.1.1 (rebuild) #720

Attempt to add cuDNN which is a dependency of other packages such as TensorFlow and PyTorch.

Major additions/changes:

• scripts/gpu_support/nvidia/install_cuda_and_libraries.sh with
  scripts/gpu_support/nvidia/eessi-2023.06-cuda-and-libraries.yml
  • script to install CUDA and cuDNN packages under .../host_injections
• EESSI-install-software.sh
  • use scripts/gpu_support/nvidia/install_cuda_and_libraries.sh with
    scripts/gpu_support/nvidia/eessi-2023.06-cuda-and-libraries.yml to install CUDA, cuDNN under .../host_injections
• eb_hooks.py
  • put code that iterates over all files replacing non-distributable ones with
    symlinks into host_injections with a common function
    (replace_non_distributable_files_with_symlinks)
  • additional post_sanitycheck_hook which replaces files with symlinks into corresponding paths under .../host_injections for all files that cannot be redistributed
  • dropping dependency on cuDNN to a build dependency (see inject_gpu_property)
• create_lmodsitepackage.py
  • consolidate eessi_{cuda,cudnn}_enabled_load_hook functions in a single one
    (eessi_cuda_and_libraries_enabled_load_hook)
  • the remaining hook is prepared to easily add new modules, e.g., cuTENSOR
• install_scripts.sh
  • add files to copy to CVMFS (see nvidia_files)