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|
{ version
, srcName
, sha256
}:
{ stdenv
, lib
, cudatoolkit
, fetchurl
, addOpenGLRunpath
}:
stdenv.mkDerivation {
name = "cudatoolkit-${cudatoolkit.majorVersion}-cudnn-${version}";
inherit version;
src = fetchurl {
# URL from NVIDIA docker containers: https://gitlab.com/nvidia/cuda/blob/centos7/7.0/runtime/cudnn4/Dockerfile
url = "https://developer.download.nvidia.com/compute/redist/cudnn/v${version}/${srcName}";
inherit sha256;
};
nativeBuildInputs = [ addOpenGLRunpath ];
installPhase = ''
function fixRunPath {
p=$(patchelf --print-rpath $1)
patchelf --set-rpath "$p:${lib.makeLibraryPath [ stdenv.cc.cc ]}" $1
}
fixRunPath lib64/libcudnn.so
mkdir -p $out
cp -a include $out/include
cp -a lib64 $out/lib64
'';
# Set RUNPATH so that libcuda in /run/opengl-driver(-32)/lib can be found.
# See the explanation in addOpenGLRunpath.
postFixup = ''
for lib in $out/lib/lib*.so; do
# patchelf fails on libcudnn_cnn_infer due to it being too big.
# Most programs will still get the RPATH since they link to
# other things.
# (https://github.com/NixOS/patchelf/issues/222)
if [ "$(basename $lib)" != libcudnn_cnn_infer.so ]; then
addOpenGLRunpath $lib
fi
done
'';
propagatedBuildInputs = [
cudatoolkit
];
passthru = {
inherit cudatoolkit;
majorVersion = lib.versions.major version;
};
meta = with stdenv.lib; {
description = "NVIDIA CUDA Deep Neural Network library (cuDNN)";
homepage = "https://developer.nvidia.com/cudnn";
license = licenses.unfree;
platforms = [ "x86_64-linux" ];
maintainers = with maintainers; [ mdaiter ];
};
}
|
