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