Reproduction script:
# Bulk rewrite
./maintainers/scripts/sha-to-sri.py pkgs/by-name
# Revert some packages which will need manual intervention
for n in amdvlk azure-cli cargo-profiler corefonts flatito fluxcd gist perf_data_converter protoc-gen-js solana-cli swt verible; do
git checkout -- "pkgs/by-name/${n:0:2}/${n}"
done
Although CDI should be used in order to not require container runtime
wrappers anymore, fix the nvidia-container-runtime integration with
Docker for cases when Docker < 25.
At this time, the nvidia-container-toolkit derivation installs a
docker executable that shadows the main one, and that is not thought
to forward commands to the original docker command, causing issues to
users when the `nvidia-container-toolkit` is in scope and they try to
call to `docker`.
This commit merely deletes the old directory, creates the new files in the new
location and rewrite the overrides.
The whole change needs to be made "atomically", since it is not pratical to
create intermediate steps that compile cleanly.
This PR refactor CUDA setup hooks, and in particular
autoAddOpenGLRunpath and autoAddCudaCompatRunpathHook, that were using a
lot of code in common (in fact, I introduced the latter by copy pasting
most of the bash script of the former). This is not satisfying for
maintenance, as a recent patch showed, because we need to duplicate
changes to both hooks.
This commit abstract the common part in a single shell script that
applies a generic patch action to every elf file in the output. For
autoAddOpenGLRunpath the action is just addOpenGLRunpath (now
addDriverRunpath), and is few line function for
autoAddCudaCompatRunpathHook.
Doing so, we also takes the occasion to use the newer addDriverRunpath
instead of the previous addOpenGLRunpath, and rename the CUDA hook to
reflect that as well.
Co-Authored-By: Connor Baker <connor.baker@tweag.io>
