nixpkgs/pkgs/development/libraries/science/math/mkl/default.nix
2018-12-26 20:57:08 -05:00

80 lines
2.9 KiB
Nix

{ stdenvNoCC, writeText, fetchurl, rpmextract, undmg }:
/*
For details on using mkl as a blas provider for python packages such as numpy,
numexpr, scipy, etc., see the Python section of the NixPkgs manual.
*/
stdenvNoCC.mkDerivation rec {
name = "mkl-${version}";
version = "${date}.${rel}";
date = "2019.0";
rel = "117";
src = if stdenvNoCC.isDarwin
then
(fetchurl {
url = "http://registrationcenter-download.intel.com/akdlm/irc_nas/tec/13565/m_mkl_${version}.dmg";
sha256 = "1f1jppac7vqwn00hkws0p4njx38ajh0n25bsjyb5d7jcacwfvm02";
})
else
(fetchurl {
url = "http://registrationcenter-download.intel.com/akdlm/irc_nas/tec/13575/l_mkl_${version}.tgz";
sha256 = "1bf7i54iqlf7x7fn8kqwmi06g30sxr6nq3ac0r871i6g0p3y47sf";
});
buildInputs = if stdenvNoCC.isDarwin then [ undmg ] else [ rpmextract ];
buildPhase = if stdenvNoCC.isDarwin then ''
for f in Contents/Resources/pkg/*.tgz; do
tar xzvf $f
done
'' else ''
rpmextract rpm/intel-mkl-common-c-${date}-${rel}-${date}-${rel}.noarch.rpm
rpmextract rpm/intel-mkl-core-rt-${date}-${rel}-${date}-${rel}.x86_64.rpm
rpmextract rpm/intel-openmp-19.0.0-${rel}-19.0.0-${rel}.x86_64.rpm
'';
installPhase = if stdenvNoCC.isDarwin then ''
mkdir -p $out/lib
cp -r compilers_and_libraries_${version}/mac/mkl/include $out/
cp -r compilers_and_libraries_${version}/licensing/mkl/en/license.txt $out/lib/
cp -r compilers_and_libraries_${version}/mac/compiler/lib/* $out/lib/
cp -r compilers_and_libraries_${version}/mac/mkl/lib/* $out/lib/
'' else ''
mkdir -p $out/lib
cp -r opt/intel/compilers_and_libraries_${version}/linux/mkl/include $out/
cp -r opt/intel/compilers_and_libraries_${version}/linux/compiler/lib/intel64_lin/* $out/lib/
cp -r opt/intel/compilers_and_libraries_${version}/linux/mkl/lib/intel64_lin/* $out/lib/
cp license.txt $out/lib/
'';
# Per license agreement, do not modify the binary
dontStrip = true;
dontPatchELF = true;
# Since these are unmodified binaries from Intel, they do not depend on stdenv
# and we can make them fixed-output derivations for cache efficiency.
outputHashAlgo = "sha256";
outputHashMode = "recursive";
outputHash = if stdenvNoCC.isDarwin
then "00d49ls9vcjan1ngq2wx2q4p6lnm05zwh67hsmj7bnq43ykrfibw"
else "1amagcaan0hk3x9v7gg03gkw02n066v4kmjb32yyzsy5rfrivb1a";
meta = with stdenvNoCC.lib; {
description = "Intel Math Kernel Library";
longDescription = ''
Intel Math Kernel Library (Intel MKL) optimizes code with minimal effort
for future generations of Intel processors. It is compatible with your
choice of compilers, languages, operating systems, and linking and
threading models.
'';
homepage = https://software.intel.com/en-us/mkl;
license = licenses.issl;
platforms = [ "x86_64-linux" "x86_64-darwin" ];
maintainers = [ maintainers.bhipple ];
};
}