Luke Granger-Brown
57725ef3ec
git-subtree-dir: third_party/nixpkgs git-subtree-split: 76612b17c0ce71689921ca12d9ffdc9c23ce40b2
145 lines
4 KiB
Nix
145 lines
4 KiB
Nix
{
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lib,
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config,
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fetchFromGitHub,
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cmake,
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cctools,
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libiconv,
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llvmPackages,
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ninja,
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openssl,
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python3Packages,
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ragel,
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yasm,
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zlib,
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cudaSupport ? config.cudaSupport,
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cudaPackages ? { },
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llvmPackages_12,
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pythonSupport ? false,
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}:
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let
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inherit (llvmPackages) stdenv;
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in
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stdenv.mkDerivation (finalAttrs: {
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pname = "catboost";
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version = "1.2.7";
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src = fetchFromGitHub {
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owner = "catboost";
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repo = "catboost";
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rev = "refs/tags/v${finalAttrs.version}";
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hash = "sha256-I3geFdVQ1Pm61eRXi+ueaxel3QRb8EJV9f4zV2Q7kk4=";
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};
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patches = [
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./remove-conan.patch
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];
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postPatch = ''
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substituteInPlace cmake/common.cmake \
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--replace-fail "\''${RAGEL_BIN}" "${ragel}/bin/ragel" \
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--replace-fail "\''${YASM_BIN}" "${yasm}/bin/yasm"
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shopt -s globstar
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for cmakelists in **/CMakeLists.*; do
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sed -i "s/OpenSSL::OpenSSL/OpenSSL::SSL/g" $cmakelists
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${lib.optionalString (lib.versionOlder cudaPackages.cudaVersion "11.8") ''
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sed -i 's/-gencode=arch=compute_89,code=sm_89//g' $cmakelists
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sed -i 's/-gencode=arch=compute_90,code=sm_90//g' $cmakelists
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''}
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done
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'';
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outputs = [
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"out"
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"dev"
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];
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nativeBuildInputs =
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[
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cmake
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llvmPackages.bintools
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ninja
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(python3Packages.python.withPackages (ps: with ps; [ six ]))
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ragel
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yasm
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]
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++ lib.optionals stdenv.hostPlatform.isDarwin [
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cctools
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]
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++ lib.optionals cudaSupport (
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with cudaPackages;
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[
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cuda_nvcc
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]
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);
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buildInputs =
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[
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openssl
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zlib
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]
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++ lib.optionals stdenv.hostPlatform.isDarwin [
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libiconv
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]
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++ lib.optionals cudaSupport (
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with cudaPackages;
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[
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cuda_cudart
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cuda_cccl
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libcublas
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]
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);
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env = {
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PROGRAM_VERSION = finalAttrs.version;
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# catboost requires clang 14+ for build, but does clang 12 for cuda build.
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# after bumping the default version of llvm, check for compatibility with the cuda backend and pin it.
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# see https://catboost.ai/en/docs/installation/build-environment-setup-for-cmake#compilers,-linkers-and-related-tools
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CUDAHOSTCXX = lib.optionalString cudaSupport "${llvmPackages_12.stdenv.cc}/bin/cc";
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NIX_CFLAGS_LINK = lib.optionalString stdenv.hostPlatform.isLinux "-fuse-ld=lld";
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NIX_LDFLAGS = "-lc -lm";
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};
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cmakeFlags = [
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(lib.cmakeFeature "CMAKE_BINARY_DIR" "$out")
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(lib.cmakeBool "CMAKE_POSITION_INDEPENDENT_CODE" true)
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(lib.cmakeFeature "CATBOOST_COMPONENTS" "app;libs${lib.optionalString pythonSupport ";python-package"}")
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(lib.cmakeBool "HAVE_CUDA" cudaSupport)
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];
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installPhase = ''
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runHook preInstall
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mkdir $dev
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cp -r catboost $dev
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install -Dm555 catboost/app/catboost -t $out/bin
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install -Dm444 catboost/libs/model_interface/static/lib/libmodel_interface-static-lib.a -t $out/lib
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install -Dm444 catboost/libs/model_interface/libcatboostmodel${stdenv.hostPlatform.extensions.sharedLibrary} -t $out/lib
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install -Dm444 catboost/libs/train_interface/libcatboost${stdenv.hostPlatform.extensions.sharedLibrary} -t $out/lib
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runHook postInstall
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'';
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meta = with lib; {
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description = "High-performance library for gradient boosting on decision trees";
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longDescription = ''
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A fast, scalable, high performance Gradient Boosting on Decision Trees
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library, used for ranking, classification, regression and other machine
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learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
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'';
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changelog = "https://github.com/catboost/catboost/releases/tag/v${finalAttrs.version}";
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license = licenses.asl20;
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platforms = platforms.unix;
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homepage = "https://catboost.ai";
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maintainers = with maintainers; [
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PlushBeaver
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natsukium
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];
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mainProgram = "catboost";
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# /nix/store/hzxiynjmmj35fpy3jla7vcqwmzj9i449-Libsystem-1238.60.2/include/sys/_types/_mbstate_t.h:31:9: error: unknown type name '__darwin_mbstate_t'
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broken = stdenv.hostPlatform.isDarwin && stdenv.hostPlatform.isx86_64;
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};
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})
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