mirror of
https://github.com/ilyakooo0/nixpkgs.git
synced 2024-10-17 10:40:33 +03:00
226 lines
7.4 KiB
Nix
226 lines
7.4 KiB
Nix
{ blas
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, boost
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, clblast
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, cmake
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, config
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, cudaPackages
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, fetchFromGitHub
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, fftw
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, fftwFloat
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, fmt_9
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, forge
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, freeimage
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, gtest
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, lapack
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, lib
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, libGL
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, mesa
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, ocl-icd
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, opencl-clhpp
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, pkg-config
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, python3
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, span-lite
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, stdenv
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# NOTE: We disable tests by default, because they cannot be run easily on
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# non-NixOS systems when either CUDA or OpenCL support is enabled (CUDA and
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# OpenCL need access to drivers that are installed outside of Nix on
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# non-NixOS systems).
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, doCheck ? false
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, cpuSupport ? true
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, cudaSupport ? config.cudaSupport
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# OpenCL needs mesa which is broken on Darwin
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, openclSupport ? !stdenv.isDarwin
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# This argument lets one run CUDA & OpenCL tests on non-NixOS systems by
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# telling Nix where to find the drivers. If you know the version of the
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# NVidia driver that is installed on your system, you can do:
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#
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# arrayfire.override {
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# nvidiaComputeDrivers =
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# callPackage
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# (prev.linuxPackages.nvidiaPackages.mkDriver {
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# version = cudaVersion; # our driver version
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# sha256_64bit = cudaHash; # sha256 of the .run binary
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# useGLVND = false;
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# useProfiles = false;
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# useSettings = false;
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# usePersistenced = false;
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# ...
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# })
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# { libsOnly = true; };
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# }
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, nvidiaComputeDrivers ? null
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}:
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# ArrayFire compiles with 64-bit BLAS, but some tests segfault or throw
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# exceptions, which means that it isn't really supported yet...
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assert blas.isILP64 == false;
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stdenv.mkDerivation rec {
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pname = "arrayfire";
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version = "3.9.0";
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src = fetchFromGitHub {
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owner = pname;
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repo = pname;
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rev = "v3.9.0";
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hash = "sha256-80fxdkaeAQ5u0X/UGPaI/900cdkZ/vXNcOn5tkZ+C3Y=";
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};
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# We cannot use the clfft from Nixpkgs because ArrayFire maintain a fork
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# of clfft where they've modified the CMake build system, and the
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# CMakeLists.txt of ArrayFire assumes that we're using that fork.
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#
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# This can be removed once ArrayFire upstream their changes.
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clfft = fetchFromGitHub {
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owner = pname;
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repo = "clfft";
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rev = "760096b37dcc4f18ccd1aac53f3501a83b83449c";
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sha256 = "sha256-vJo1YfC2AJIbbRj/zTfcOUmi0Oj9v64NfA9MfK8ecoY=";
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};
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glad = fetchFromGitHub {
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owner = pname;
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repo = "glad";
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rev = "ef8c5508e72456b714820c98e034d9a55b970650";
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sha256 = "sha256-u9Vec7XLhE3xW9vzM7uuf+b18wZsh/VMtGbB6nMVlno=";
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};
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threads = fetchFromGitHub {
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owner = pname;
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repo = "threads";
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rev = "4d4a4f0384d1ac2f25b2c4fc1d57b9e25f4d6818";
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sha256 = "sha256-qqsT9woJDtQvzuV323OYXm68pExygYs/+zZNmg2sN34=";
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};
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test-data = fetchFromGitHub {
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owner = pname;
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repo = "arrayfire-data";
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rev = "a5f533d7b864a4d8f0dd7c9aaad5ff06018c4867";
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sha256 = "sha256-AWzhsrDXyZrQN2bd0Ng/XlE8v02x7QWTiFTyaAuRXSw=";
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};
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# ArrayFire fails to compile with newer versions of spdlog, so we can't use
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# the one in Nixpkgs. Once they upgrade, we can switch to using spdlog from
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# Nixpkgs.
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spdlog = fetchFromGitHub {
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owner = "gabime";
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repo = "spdlog";
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rev = "v1.9.2";
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hash = "sha256-GSUdHtvV/97RyDKy8i+ticnSlQCubGGWHg4Oo+YAr8Y=";
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};
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cmakeFlags = [
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"-DBUILD_TESTING=ON"
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# We do not build examples, because building tests already takes long enough...
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"-DAF_BUILD_EXAMPLES=OFF"
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# No need to build forge, because it's a separate package
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"-DAF_BUILD_FORGE=OFF"
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"-DAF_COMPUTE_LIBRARY='FFTW/LAPACK/BLAS'"
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# Prevent ArrayFire from trying to download some matrices from the Internet
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"-DAF_TEST_WITH_MTX_FILES=OFF"
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# Have to use the header-only version, because we're not using the version
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# from Nixpkgs. Otherwise, libaf.so won't be able to find the shared
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# library, because ArrayFire's CMake files do not run the install step of
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# spdlog.
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"-DAF_WITH_SPDLOG_HEADER_ONLY=ON"
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(if cpuSupport then "-DAF_BUILD_CPU=ON" else "-DAF_BUILD_CPU=OFF")
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(if openclSupport then "-DAF_BUILD_OPENCL=ON" else "-DAF_BUILD_OPENCL=OFF")
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(if cudaSupport then "-DAF_BUILD_CUDA=ON" else "-DAF_BUILD_CUDA=OFF")
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] ++ lib.optionals cudaSupport [
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# ArrayFire use deprecated FindCUDA in their CMake files, so we help CMake
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# locate cudatoolkit.
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"-DCUDA_LIBRARIES_PATH=${cudaPackages.cudatoolkit}/lib"
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];
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# ArrayFire have a repo with assets for the examples. Since we don't build
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# the examples anyway, remove the dependency on assets.
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patches = [ ./no-assets.patch ./no-download.patch ];
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postPatch = ''
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mkdir -p ./extern/af_glad-src
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mkdir -p ./extern/af_threads-src
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mkdir -p ./extern/af_test_data-src
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mkdir -p ./extern/ocl_clfft-src
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mkdir -p ./extern/spdlog-src
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cp -R --no-preserve=mode,ownership ${glad}/* ./extern/af_glad-src/
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cp -R --no-preserve=mode,ownership ${threads}/* ./extern/af_threads-src/
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cp -R --no-preserve=mode,ownership ${test-data}/* ./extern/af_test_data-src/
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cp -R --no-preserve=mode,ownership ${clfft}/* ./extern/ocl_clfft-src/
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cp -R --no-preserve=mode,ownership ${spdlog}/* ./extern/spdlog-src/
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# libaf.so (the unified backend) tries to load the right shared library at
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# runtime, and the search paths are hard-coded... We tweak them to point to
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# the installation directory in the Nix store.
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substituteInPlace src/api/unified/symbol_manager.cpp \
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--replace '"/opt/arrayfire-3/lib/",' \
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"\"$out/lib/\", \"/opt/arrayfire-3/lib/\","
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'';
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inherit doCheck;
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checkPhase =
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let
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LD_LIBRARY_PATH = builtins.concatStringsSep ":" (
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[ "${forge}/lib" "${freeimage}/lib" ]
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++ lib.optional cudaSupport "${cudaPackages.cudatoolkit}/lib64"
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# On non-NixOS systems, help the tests find Nvidia drivers
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++ lib.optional (nvidiaComputeDrivers != null) "${nvidiaComputeDrivers}/lib"
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);
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ctestFlags = builtins.concatStringsSep " " (
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# We have to run with "-j1" otherwise various segfaults occur on non-NixOS systems.
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[ "--output-on-errors" "-j1" ]
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# See https://github.com/arrayfire/arrayfire/issues/3484
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++ lib.optional openclSupport "-E '(inverse_dense|cholesky_dense)'"
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);
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in
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''
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export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}
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'' +
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# On non-NixOS systems, help the tests find Nvidia drivers
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lib.optionalString (openclSupport && nvidiaComputeDrivers != null) ''
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export OCL_ICD_VENDORS=${nvidiaComputeDrivers}/etc/OpenCL/vendors
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'' + ''
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# Note: for debugging, enable AF_TRACE=all
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AF_PRINT_ERRORS=1 ctest ${ctestFlags}
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'';
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buildInputs = [
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blas
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boost.dev
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boost.out
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clblast
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fftw
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fftwFloat
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# We need fmt_9 because ArrayFire fails to compile with newer versions.
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fmt_9
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forge
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freeimage
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gtest
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lapack
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libGL
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ocl-icd
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opencl-clhpp
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span-lite
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]
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++ lib.optionals cudaSupport [
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cudaPackages.cudatoolkit
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cudaPackages.cudnn
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cudaPackages.cuda_cccl
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]
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++ lib.optionals openclSupport [
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mesa
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];
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nativeBuildInputs = [
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cmake
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pkg-config
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python3
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];
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meta = with lib; {
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description = "A general-purpose library for parallel and massively-parallel computations";
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longDescription = ''
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A general-purpose library that simplifies the process of developing software that targets parallel and massively-parallel architectures including CPUs, GPUs, and other hardware acceleration devices.";
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'';
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license = licenses.bsd3;
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homepage = "https://arrayfire.com/";
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platforms = platforms.linux;
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maintainers = with maintainers; [ chessai twesterhout ];
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};
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}
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