nixpkgs/pkgs/development/compilers/cudatoolkit/default.nix
Nikolay Amiantov 7cf6010fd3 cudatoolkit: use recommended gcc by default
This way one may build packages requiring old CUDA Toolkit with usual stdenv;
only bits which are compiled with NVCC would use older GCC.
2017-10-19 12:47:30 +03:00

177 lines
5.7 KiB
Nix

{ lib, stdenv, makeWrapper, fetchurl, requireFile, patchelf, perl, ncurses, expat, python27, zlib
, gcc48, gcc49, gcc5, gcc6
, xorg, gtk2, glib, fontconfig, freetype, unixODBC, alsaLib, glibc
}:
let
common =
args@{ gcc, version, sha256
, url ? ""
, name ? ""
, developerProgram ? false
, python ? python27
}:
stdenv.mkDerivation rec {
name = "cudatoolkit-${version}";
inherit (args) version;
dontPatchELF = true;
dontStrip = true;
src =
if developerProgram then
requireFile {
message = ''
This nix expression requires that ${args.name} is already part of the store.
Register yourself to NVIDIA Accelerated Computing Developer Program, retrieve the CUDA toolkit
at https://developer.nvidia.com/cuda-toolkit, and run the following command in the download directory:
nix-prefetch-url file://${args.name}
'';
inherit (args) name sha256;
}
else
fetchurl {
inherit (args) url sha256;
};
outputs = [ "out" "lib" "doc" ];
nativeBuildInputs = [ perl makeWrapper ];
runtimeDependencies = [
ncurses expat python zlib glibc
xorg.libX11 xorg.libXext xorg.libXrender xorg.libXt xorg.libXtst xorg.libXi xorg.libXext
gtk2 glib fontconfig freetype unixODBC alsaLib
];
rpath = "${stdenv.lib.makeLibraryPath runtimeDependencies}:${stdenv.cc.cc.lib}/lib64";
unpackPhase = ''
sh $src --keep --noexec
cd pkg/run_files
sh cuda-linux*.run --keep --noexec
sh cuda-samples*.run --keep --noexec
cd pkg
'';
buildPhase = ''
chmod -R u+w .
while IFS= read -r -d ''$'\0' i; do
if ! isELF "$i"; then continue; fi
echo "patching $i..."
if [[ ! $i =~ \.so ]]; then
patchelf \
--set-interpreter "''$(cat $NIX_CC/nix-support/dynamic-linker)" $i
fi
if [[ $i =~ libcudart ]]; then
rpath2=
else
rpath2=$rpath:$lib/lib:$out/jre/lib/amd64/jli:$out/lib:$out/lib64:$out/nvvm/lib:$out/nvvm/lib64
fi
patchelf --set-rpath $rpath2 --force-rpath $i
done < <(find . -type f -print0)
'';
installPhase = ''
mkdir $out
perl ./install-linux.pl --prefix="$out"
rm $out/tools/CUDA_Occupancy_Calculator.xls # FIXME: why?
# let's remove the 32-bit libraries, they confuse the lib64->lib mover
rm -rf $out/lib
# Remove some cruft.
rm $out/bin/uninstall*
# Fixup path to samples (needed for cuda 6.5 or else nsight will not find them)
if [ -d "$out"/cuda-samples ]; then
mv "$out"/cuda-samples "$out"/samples
fi
# Change the #error on GCC > 4.9 to a #warning.
sed -i $out/include/host_config.h -e 's/#error\(.*unsupported GNU version\)/#warning\1/'
# Ensure that cmake can find CUDA.
mkdir -p $out/nix-support
echo "cmakeFlags+=' -DCUDA_TOOLKIT_ROOT_DIR=$out'" >> $out/nix-support/setup-hook
# Move some libraries to the lib output so that programs that
# depend on them don't pull in this entire monstrosity.
mkdir -p $lib/lib
mv -v $out/lib64/libcudart* $lib/lib/
# Remove OpenCL libraries as they are provided by ocl-icd and driver.
rm -f $out/lib64/libOpenCL*
# Set compiler for NVCC.
wrapProgram $out/bin/nvcc \
--prefix PATH : ${gcc}/bin
'' + lib.optionalString (lib.versionOlder version "8.0") ''
# Hack to fix building against recent Glibc/GCC.
echo "NIX_CFLAGS_COMPILE+=' -D_FORCE_INLINES'" >> $out/nix-support/setup-hook
'';
passthru = {
cc = gcc;
majorVersion =
let versionParts = lib.splitString "." version;
in "${lib.elemAt versionParts 0}.${lib.elemAt versionParts 1}";
};
meta = with stdenv.lib; {
description = "A compiler for NVIDIA GPUs, math libraries, and tools";
homepage = "https://developer.nvidia.com/cuda-toolkit";
platforms = [ "x86_64-linux" ];
license = licenses.unfree;
};
};
in {
cudatoolkit6 = common {
version = "6.0.37";
url = "http://developer.download.nvidia.com/compute/cuda/6_0/rel/installers/cuda_6.0.37_linux_64.run";
sha256 = "991e436c7a6c94ec67cf44204d136adfef87baa3ded270544fa211179779bc40";
gcc = gcc48;
};
cudatoolkit65 = common {
version = "6.5.19";
url = "http://developer.download.nvidia.com/compute/cuda/6_5/rel/installers/cuda_6.5.19_linux_64.run";
sha256 = "1x9zdmk8z784d3d35vr2ak1l4h5v4jfjhpxfi9fl9dvjkcavqyaj";
gcc = gcc48;
};
cudatoolkit7 = common {
version = "7.0.28";
url = "http://developer.download.nvidia.com/compute/cuda/7_0/Prod/local_installers/cuda_7.0.28_linux.run";
sha256 = "1km5hpiimx11jcazg0h3mjzk220klwahs2vfqhjavpds5ff2wafi";
gcc = gcc49;
};
cudatoolkit75 = common {
version = "7.5.18";
url = "http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda_7.5.18_linux.run";
sha256 = "1v2ylzp34ijyhcxyh5p6i0cwawwbbdhni2l5l4qm21s1cx9ish88";
gcc = gcc49;
};
cudatoolkit8 = common {
version = "8.0.61";
url = "https://developer.nvidia.com/compute/cuda/8.0/Prod2/local_installers/cuda_8.0.61_375.26_linux-run";
sha256 = "1i4xrsqbad283qffvysn88w2pmxzxbbby41lw0j1113z771akv4w";
gcc = gcc5;
};
cudatoolkit9 = common {
version = "9.0.176";
url = "https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda_9.0.176_384.81_linux-run";
sha256 = "0308rmmychxfa4inb1ird9bpgfppgr9yrfg1qp0val5azqik91ln";
gcc = gcc6;
};
}