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nixpkgs/pkgs/by-name/ca/catboost/package.nix
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144 lines
4.0 KiB
Nix

{
lib,
config,
fetchFromGitHub,
cmake,
cctools,
libiconv,
llvmPackages,
ninja,
openssl,
python3Packages,
ragel,
yasm,
zlib,
gitUpdater,
cudaSupport ? config.cudaSupport,
cudaPackages ? { },
pythonSupport ? false,
}:
let
stdenv = if cudaSupport then cudaPackages.backendStdenv else llvmPackages.stdenv;
in
stdenv.mkDerivation (finalAttrs: {
pname = "catboost";
version = "1.2.7";
src = fetchFromGitHub {
owner = "catboost";
repo = "catboost";
tag = "v${finalAttrs.version}";
hash = "sha256-I3geFdVQ1Pm61eRXi+ueaxel3QRb8EJV9f4zV2Q7kk4=";
};
patches = [
./remove-conan.patch
];
postPatch = ''
substituteInPlace cmake/common.cmake \
--replace-fail "\''${RAGEL_BIN}" "${ragel}/bin/ragel" \
--replace-fail "\''${YASM_BIN}" "${yasm}/bin/yasm"
shopt -s globstar
for cmakelists in **/CMakeLists.*; do
sed -i "s/OpenSSL::OpenSSL/OpenSSL::SSL/g" $cmakelists
done
'';
outputs = [
"out"
"dev"
];
nativeBuildInputs = [
cmake
llvmPackages.bintools
ninja
(python3Packages.python.withPackages (ps: with ps; [ six ]))
ragel
yasm
]
++ lib.optionals stdenv.hostPlatform.isDarwin [
cctools
]
++ lib.optionals cudaSupport [
cudaPackages.cuda_nvcc
];
buildInputs = [
openssl
zlib
]
++ lib.optionals stdenv.hostPlatform.isDarwin [
libiconv
]
++ lib.optionals cudaSupport [
cudaPackages.cuda_cudart
cudaPackages.cuda_cccl
cudaPackages.libcublas
];
env = {
PROGRAM_VERSION = finalAttrs.version;
# catboost requires clang 14+ for build, but does clang 12 for cuda build.
# after bumping the default version of llvm, check for compatibility with the cuda backend and pin it.
# see https://catboost.ai/en/docs/installation/build-environment-setup-for-cmake#compilers,-linkers-and-related-tools
CUDAHOSTCXX = lib.optionalString cudaSupport "${stdenv.cc}/bin/cc";
NIX_CFLAGS_LINK = lib.optionalString stdenv.hostPlatform.isLinux "-fuse-ld=lld";
NIX_LDFLAGS = "-lc -lm";
NIX_CFLAGS_COMPILE = toString (
lib.optionals stdenv.cc.isClang [
"-Wno-error=missing-template-arg-list-after-template-kw"
]
);
};
cmakeFlags = [
(lib.cmakeFeature "CMAKE_BINARY_DIR" "$out")
(lib.cmakeBool "CMAKE_POSITION_INDEPENDENT_CODE" true)
(lib.cmakeFeature "CATBOOST_COMPONENTS" "app;libs${lib.optionalString pythonSupport ";python-package"}")
(lib.cmakeBool "HAVE_CUDA" cudaSupport)
];
installPhase = ''
runHook preInstall
mkdir $dev
cp -r catboost $dev
install -Dm555 catboost/app/catboost -t $out/bin
install -Dm444 catboost/libs/model_interface/static/lib/libmodel_interface-static-lib.a -t $out/lib
install -Dm444 catboost/libs/model_interface/libcatboostmodel${stdenv.hostPlatform.extensions.sharedLibrary} -t $out/lib
install -Dm444 catboost/libs/train_interface/libcatboost${stdenv.hostPlatform.extensions.sharedLibrary} -t $out/lib
runHook postInstall
'';
passthru.updateScript = gitUpdater { rev-prefix = "v"; };
meta = {
description = "High-performance library for gradient boosting on decision trees";
longDescription = ''
A fast, scalable, high performance Gradient Boosting on Decision Trees
library, used for ranking, classification, regression and other machine
learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
'';
changelog = "https://github.com/catboost/catboost/releases/tag/v${finalAttrs.version}";
license = lib.licenses.asl20;
platforms = lib.platforms.unix;
homepage = "https://catboost.ai";
maintainers = with lib.maintainers; [
PlushBeaver
natsukium
];
mainProgram = "catboost";
broken =
# See: <https://github.com/catboost/catboost/issues/2755>
cudaSupport
# /nix/store/hzxiynjmmj35fpy3jla7vcqwmzj9i449-Libsystem-1238.60.2/include/sys/_types/_mbstate_t.h:31:9: error: unknown type name '__darwin_mbstate_t'
|| (stdenv.hostPlatform.isDarwin && stdenv.hostPlatform.isx86_64);
};
})