forked from mirrors/nixpkgs
a49a59bc6c
libflame is a protable library for dense matrix computations, providing a complete LAPACK implementation. The AMD fork of libflame is optimized for AMD CPUs.
73 lines
1.9 KiB
Nix
73 lines
1.9 KiB
Nix
{ lib
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, stdenv
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, fetchFromGitHub
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, gfortran
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, python3
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, amd-blis
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, withOpenMP ? true
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}:
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stdenv.mkDerivation rec {
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pname = "amd-libflame";
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version = "2.2";
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src = fetchFromGitHub {
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owner = "amd";
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repo = "libflame";
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rev = version;
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sha256 = "1s8zvq6p843jb52lrbxra7vv0wzmifs4j36z9bp7wf3xr20a0zi5";
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};
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patches = [
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# The LAPACKE interface is compiled as a separate static library,
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# we want the main dynamic library to provide LAPACKE symbols.
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# This patch adds lapacke.a to the shared library as well.
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./add-lapacke.diff
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];
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nativeBuildInputs = [ gfortran python3 ];
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buildInputs = [ amd-blis ];
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configureFlags = [
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# Build a dynamic library with a LAPACK interface.
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"--disable-static-build"
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"--enable-dynamic-build"
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"--enable-lapack2flame"
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# Use C BLAS interface.
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"--enable-cblas-interfaces"
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# Avoid overloading maximum number of arguments.
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"--enable-max-arg-list-hack"
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# libflame by default leaves BLAS symbols unresolved and leaves it
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# up to the application to explicitly link to a BLAS. This is
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# problematic for us, since then the BLAS library becomes an
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# implicit dependency. Moreover, since the point of the AMD forks
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# is to optimized for recent AMD CPUs, link against AMD BLIS.
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"LDFLAGS=-lcblas"
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]
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++ lib.optionals withOpenMP [ "--enable-multithreading=openmp" ];
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enableParallelBuilding = true;
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postPatch = ''
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patchShebangs build
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'';
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postInstall = ''
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ln -s $out/lib/libflame.so.${version} $out/lib/liblapack.so.3
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ln -s $out/lib/libflame.so.${version} $out/lib/liblapacke.so.3
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'';
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meta = with stdenv.lib; {
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description = "LAPACK-compatible linear algebra library optimized for AMD CPUs";
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homepage = "https://developer.amd.com/amd-aocl/blas-library/";
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license = licenses.bsd3;
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maintainers = with maintainers; [ danieldk ];
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platforms = [ "x86_64-linux" ];
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};
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}
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