depot/pkgs/development/cuda-modules/cudnn/fixup.nix
Luke Granger-Brown 57725ef3ec Squashed 'third_party/nixpkgs/' content from commit 76612b17c0ce
git-subtree-dir: third_party/nixpkgs
git-subtree-split: 76612b17c0ce71689921ca12d9ffdc9c23ce40b2
2024-11-10 23:59:47 +00:00

74 lines
2 KiB
Nix

{
cudaVersion,
fetchurl,
final,
lib,
package,
patchelf,
zlib,
...
}:
let
inherit (lib)
lists
maintainers
meta
strings
;
in
finalAttrs: prevAttrs: {
src = fetchurl { inherit (package) url hash; };
# Useful for inspecting why something went wrong.
brokenConditions =
let
cudaTooOld = strings.versionOlder cudaVersion package.minCudaVersion;
cudaTooNew =
(package.maxCudaVersion != null) && strings.versionOlder package.maxCudaVersion cudaVersion;
in
prevAttrs.brokenConditions
// {
"CUDA version is too old" = cudaTooOld;
"CUDA version is too new" = cudaTooNew;
};
buildInputs =
prevAttrs.buildInputs
++ [ zlib ]
++ lists.optionals finalAttrs.passthru.useCudatoolkitRunfile [ final.cudatoolkit ]
++ lists.optionals (!finalAttrs.passthru.useCudatoolkitRunfile) [ final.libcublas.lib ];
# Tell autoPatchelf about runtime dependencies. *_infer* libraries only
# exist in CuDNN 8.
# NOTE: Versions from CUDNN releases have four components.
postFixup =
strings.optionalString
(
strings.versionAtLeast finalAttrs.version "8.0.5.0"
&& strings.versionOlder finalAttrs.version "9.0.0.0"
)
''
${meta.getExe patchelf} $lib/lib/libcudnn.so --add-needed libcudnn_cnn_infer.so
${meta.getExe patchelf} $lib/lib/libcudnn_ops_infer.so --add-needed libcublas.so --add-needed libcublasLt.so
'';
passthru.useCudatoolkitRunfile = strings.versionOlder cudaVersion "11.3.999";
meta = prevAttrs.meta // {
homepage = "https://developer.nvidia.com/cudnn";
maintainers =
prevAttrs.meta.maintainers
++ (with maintainers; [
mdaiter
samuela
connorbaker
]);
license = {
shortName = "cuDNN EULA";
fullName = "NVIDIA cuDNN Software License Agreement (EULA)";
url = "https://docs.nvidia.com/deeplearning/sdk/cudnn-sla/index.html#supplement";
free = false;
redistributable = !finalAttrs.passthru.useCudatoolkitRunfile;
};
};
}