fa5436e0a7
GitOrigin-RevId: e8057b67ebf307f01bdcc8fba94d94f75039d1f6
121 lines
3.5 KiB
Nix
121 lines
3.5 KiB
Nix
{ lib
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, config
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, fetchFromGitHub
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, cmake
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, darwin
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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 = "1.2.5";
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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${finalAttrs.version}";
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hash = "sha256-2dfCCCa0LheytkLRbYuBd25M320f1kbhBWKIVjslor0=";
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};
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patches = [
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./remove-conan.patch
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];
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postPatch = ''
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substituteInPlace cmake/common.cmake \
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--replace-fail "\''${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 = [ "out" "dev" ];
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nativeBuildInputs = [
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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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] ++ lib.optionals stdenv.hostPlatform.isDarwin [
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darwin.cctools
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] ++ lib.optionals cudaSupport (with cudaPackages; [
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cuda_nvcc
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]);
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buildInputs = [
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openssl
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zlib
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] ++ lib.optionals stdenv.isDarwin [
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libiconv
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] ++ lib.optionals cudaSupport (with cudaPackages; [
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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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env = {
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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.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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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; [ PlushBeaver natsukium ];
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mainProgram = "catboost";
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};
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})
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