{ 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 ]; }; }