Add NVIDIA acceleration how-to documentation

[shikanime]

No description provided.

[SuperSandro2000]

This is literally a copy of

NixOS-WSL/modules/wsl-distro.nix

Lines 84 to 105 in adb6bc4

	(pkgs.runCommand "wsl-lib" { } ''
	mkdir -p "$out/lib"
	# # we cannot just symlink the lib directory because it breaks merging with other drivers that provide the same directory
	ln -s /usr/lib/wsl/lib/libcudadebugger.so.1 "$out/lib"
	ln -s /usr/lib/wsl/lib/libcuda.so "$out/lib"
	ln -s /usr/lib/wsl/lib/libcuda.so.1 "$out/lib"
	ln -s /usr/lib/wsl/lib/libcuda.so.1.1 "$out/lib"
	ln -s /usr/lib/wsl/lib/libd3d12core.so "$out/lib"
	ln -s /usr/lib/wsl/lib/libd3d12.so "$out/lib"
	ln -s /usr/lib/wsl/lib/libdxcore.so "$out/lib"
	ln -s /usr/lib/wsl/lib/libnvcuvid.so "$out/lib"
	ln -s /usr/lib/wsl/lib/libnvcuvid.so.1 "$out/lib"
	ln -s /usr/lib/wsl/lib/libnvdxdlkernels.so "$out/lib"
	ln -s /usr/lib/wsl/lib/libnvidia-encode.so "$out/lib"
	ln -s /usr/lib/wsl/lib/libnvidia-encode.so.1 "$out/lib"
	ln -s /usr/lib/wsl/lib/libnvidia-ml.so.1 "$out/lib"
	ln -s /usr/lib/wsl/lib/libnvidia-opticalflow.so "$out/lib"
	ln -s /usr/lib/wsl/lib/libnvidia-opticalflow.so.1 "$out/lib"
	ln -s /usr/lib/wsl/lib/libnvoptix.so.1 "$out/lib"
	ln -s /usr/lib/wsl/lib/libnvwgf2umx.so "$out/lib"
	ln -s /usr/lib/wsl/lib/nvidia-smi "$out/lib"
	'')

, right? How can we re-use those information? No one is going to keep those in sync. Maybe we should move the package to a read-only internal option?

[shikanime]

Yes, it's the same, we could make it more dynamic with a for loop or depending on the API design of this project, add it as an option.

Update: So far, build isolation doesn't seem to allow us to dynamically shell for each for the shared library in an asolute path, I don't know how the home-manager managed to make it work.

[Atry]

Would the ldconfig option help non-Nix binaries find the WSL drivers?

[shikanime]

This is different, there are numerous cases where the executable we want to work with comes from outside the nix store, so nix-ld is needed. This example shows how to use the GPU with it.