depot/third_party/nixpkgs/pkgs/development/libraries/libxsmm/default.nix
Default email 587713944a Project import generated by Copybara.
GitOrigin-RevId: 6143fc5eeb9c4f00163267708e26191d1e918932
2024-04-21 17:54:59 +02:00

58 lines
1.2 KiB
Nix

{ lib, stdenv, fetchFromGitHub, gfortran
, python3, util-linux, which
, enableStatic ? stdenv.hostPlatform.isStatic
}:
stdenv.mkDerivation rec {
pname = "libxsmm";
version = "1.16.3";
src = fetchFromGitHub {
owner = "hfp";
repo = "libxsmm";
rev = version;
sha256 = "sha256-PpMiD/PeQ0pe5hqFG6VFHWpR8y3wnO2z1dJfHHeItlQ=";
};
outputs = [ "out" "dev" "doc" ];
nativeBuildInputs = [
gfortran
python3
util-linux
which
];
enableParallelBuilding = true;
dontConfigure = true;
makeFlags = let
static = if enableStatic then "1" else "0";
in [
"OMP=1"
"PREFIX=$(out)"
"STATIC=${static}"
];
postInstall = ''
mkdir -p $dev/lib/pkgconfig
mv $out/lib/*.pc $dev/lib/pkgconfig
moveToOutput "share/libxsmm" "$doc"
'';
prePatch = ''
patchShebangs .
'';
meta = with lib; {
broken = (stdenv.isLinux && stdenv.isAarch64);
description = "Library targeting Intel Architecture for specialized dense and sparse matrix operations, and deep learning primitives";
mainProgram = "libxsmm_gemm_generator";
license = licenses.bsd3;
homepage = "https://github.com/hfp/libxsmm";
platforms = platforms.linux;
maintainers = with lib.maintainers; [ chessai ];
};
}