82 lines
1.5 KiB
Nix
82 lines
1.5 KiB
Nix
{ stdenv
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, lib
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, buildPythonPackage
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, fetchFromGitHub
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, cmake
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, cython
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, numpy
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, six
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, nose
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, Mako
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, python
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, cudaSupport ? false, cudatoolkit
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, openclSupport ? true, ocl-icd, clblas
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}:
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buildPythonPackage rec {
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pname = "libgpuarray";
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version = "0.7.5";
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name = pname + "-" + version;
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src = fetchFromGitHub {
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owner = "Theano";
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repo = "libgpuarray";
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rev = "v${version}";
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sha256 = "0zkdwjq3k6ciiyf8y5w663fbsnmzhgy27yvpxfhkpxazw9vg3l5v";
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};
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# requires a GPU
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doCheck = false;
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configurePhase = "cmakeConfigurePhase";
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libraryPath = lib.makeLibraryPath (
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[]
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++ lib.optionals cudaSupport [ cudatoolkit.lib cudatoolkit.out ]
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++ lib.optionals openclSupport [ ocl-icd clblas ]
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);
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preBuild = ''
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make -j$NIX_BUILD_CORES
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make install
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export NIX_CFLAGS_COMPILE="-L $out/lib -I $out/include $NIX_CFLAGS_COMPILE"
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cd ..
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'';
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postFixup = ''
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rm $out/lib/libgpuarray-static.a
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function fixRunPath {
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p=$(patchelf --print-rpath $1)
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patchelf --set-rpath "$p:$libraryPath" $1
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}
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fixRunPath $out/lib/libgpuarray.so
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'';
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propagatedBuildInputs = [
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numpy
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six
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Mako
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];
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enableParallelBuilding = true;
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buildInputs = [
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cmake
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cython
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nose
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];
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meta = with stdenv.lib; {
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homepage = "https://github.com/Theano/libgpuarray";
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description = "Library to manipulate tensors on GPU.";
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license = licenses.free;
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maintainers = with maintainers; [ artuuge ];
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platforms = platforms.linux;
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};
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}
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