2020-09-05 14:50:54 +01:00
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{ stdenv, fetchFromGitHub, coreutils, gfortran, gnused
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2020-11-24 15:29:28 +00:00
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, python3, util-linux, which
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2020-09-05 14:50:54 +01:00
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2020-12-20 06:11:26 +00:00
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, enableStatic ? stdenv.hostPlatform.isStatic
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2019-10-21 06:26:13 +01:00
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}:
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let
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2020-09-05 14:50:54 +01:00
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version = "1.16.1";
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2019-10-21 06:26:13 +01:00
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in stdenv.mkDerivation {
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pname = "libxsmm";
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inherit version;
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src = fetchFromGitHub {
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owner = "hfp";
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repo = "libxsmm";
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2020-09-05 14:50:54 +01:00
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rev = version;
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sha256 = "1c1qj6hcdfx11bvilnly92vgk1niisd2bjw1s8vfyi2f7ws1wnp0";
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2019-10-21 06:26:13 +01:00
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};
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2020-09-05 14:50:54 +01:00
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nativeBuildInputs = [
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2019-10-21 06:26:13 +01:00
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coreutils
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2020-09-05 14:50:54 +01:00
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gfortran
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2019-10-21 06:26:13 +01:00
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gnused
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2020-09-05 14:50:54 +01:00
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python3
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2020-11-24 15:29:28 +00:00
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util-linux
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2019-10-21 06:26:13 +01:00
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which
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];
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2020-09-05 14:50:54 +01:00
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enableParallelBuilding = true;
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dontConfigure = true;
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makeFlags = let
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static = if enableStatic then "1" else "0";
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in [
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"OMP=1"
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"PREFIX=$(out)"
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"STATIC=${static}"
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];
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2019-10-21 06:26:13 +01:00
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prePatch = ''
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patchShebangs .
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'';
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meta = with stdenv.lib; {
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description = "Library targeting Intel Architecture for specialized dense and sparse matrix operations, and deep learning primitives";
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license = licenses.bsd3;
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2020-05-25 00:06:12 +01:00
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homepage = "https://github.com/hfp/libxsmm";
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2019-10-21 06:26:13 +01:00
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platforms = platforms.linux;
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maintainers = with stdenv.lib.maintainers; [ chessai ];
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};
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}
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