depot/third_party/nixpkgs/pkgs/development/libraries/lightgbm/default.nix
Default email c7cb07f092 Project import generated by Copybara.
GitOrigin-RevId: 1536926ef5621b09bba54035ae2bb6d806d72ac8
2024-02-29 21:09:43 +01:00

154 lines
5.8 KiB
Nix

{ config, stdenv, lib, fetchFromGitHub, cmake, gtest, doCheck ? true
, cudaSupport ? config.cudaSupport or false, openclSupport ? false
, mpiSupport ? false, javaWrapper ? false, hdfsSupport ? false, pythonLibrary ? false
, rLibrary ? false, cudaPackages, opencl-headers, ocl-icd, boost
, llvmPackages, openmpi, openjdk, swig, hadoop, R, rPackages, pandoc }:
assert doCheck -> mpiSupport != true;
assert openclSupport -> cudaSupport != true;
assert cudaSupport -> openclSupport != true;
stdenv.mkDerivation rec {
pnameBase = "lightgbm";
# prefix with r when building the R library
# The R package build results in a special binary file
# that contains a subset of the .so file use for the CLI
# and python version. In general, the CRAN version from
# nixpkgs's r-modules should be used, but this non-standard
# build allows for enabling CUDA support and other features
# which aren't included in the CRAN release. Build with:
# nix-build -E "with (import $NIXPKGS{}); \
# let \
# lgbm = lightgbm.override{rLibrary = true; doCheck = false;}; \
# in \
# rWrapper.override{ packages = [ lgbm ]; }"
pname = lib.optionalString rLibrary "r-" + pnameBase;
version = "4.3.0";
src = fetchFromGitHub {
owner = "microsoft";
repo = pnameBase;
rev = "v${version}";
fetchSubmodules = true;
hash = "sha256-hEoGdzC6n8t14ZUFWFrdljEkQRo9qaDGYTamvIAgrbg=";
};
nativeBuildInputs = [ cmake ]
++ lib.optionals stdenv.isDarwin [ llvmPackages.openmp ]
++ lib.optionals openclSupport [ opencl-headers ocl-icd boost ]
++ lib.optionals mpiSupport [ openmpi ]
++ lib.optionals hdfsSupport [ hadoop ]
++ lib.optionals (hdfsSupport || javaWrapper) [ openjdk ]
++ lib.optionals javaWrapper [ swig ]
++ lib.optionals rLibrary [ R pandoc ];
buildInputs = [ gtest ]
++ lib.optional cudaSupport cudaPackages.cudatoolkit;
propagatedBuildInputs = lib.optionals rLibrary [
rPackages.data_table
rPackages.markdown
rPackages.rmarkdown
rPackages.jsonlite
rPackages.Matrix
rPackages.R6
];
# Skip APPLE in favor of linux build for .so files
postPatch = ''
export PROJECT_SOURCE_DIR=./
substituteInPlace CMakeLists.txt \
--replace "find_package(GTest CONFIG)" "find_package(GTest REQUIRED)" \
--replace "OpenCL_INCLUDE_DIRS}" "OpenCL_INCLUDE_DIRS}" \
--replace "elseif(APPLE)" "elseif(APPLESKIP)"
substituteInPlace \
external_libs/compute/include/boost/compute/cl.hpp \
external_libs/compute/include/boost/compute/cl_ext.hpp \
--replace "include <OpenCL/" "include <CL/"
substituteInPlace build_r.R \
--replace "shQuote(normalizePath" "shQuote(type = 'cmd', string = normalizePath" \
--replace "file.path(getwd(), \"lightgbm_r\")" "'$out/tmp'" \
--replace \
"install_args <- c(\"CMD\", \"INSTALL\", \"--no-multiarch\", \"--with-keep.source\", tarball)" \
"install_args <- c(\"CMD\", \"INSTALL\", \"--no-multiarch\", \"--with-keep.source\", \"-l $out/library\", tarball)"
# Retry this test in next release. Something fails in the setup, so GTEST_FILTER is not enough
rm tests/cpp_tests/test_arrow.cpp
'';
cmakeFlags = lib.optionals doCheck [ "-DBUILD_CPP_TEST=ON" ]
++ lib.optionals cudaSupport [ "-DUSE_CUDA=1" "-DCMAKE_CXX_COMPILER=${cudaPackages.cudatoolkit.cc}/bin/cc" ]
++ lib.optionals openclSupport [ "-DUSE_GPU=ON" ]
++ lib.optionals mpiSupport [ "-DUSE_MPI=ON" ]
++ lib.optionals hdfsSupport [
"-DUSE_HDFS=ON"
"-DHDFS_LIB=${hadoop}/lib/hadoop-${hadoop.version}/lib/native/libhdfs.so"
"-DHDFS_INCLUDE_DIR=${hadoop}/lib/hadoop-${hadoop.version}/include" ]
++ lib.optionals javaWrapper [
"-DUSE_SWIG=ON"
# RPATH of binary /nix/store/.../bin/... contains a forbidden reference to /build/
"-DCMAKE_SKIP_BUILD_RPATH=ON" ]
++ lib.optionals rLibrary [ "-D__BUILD_FOR_R=ON" ]
++ lib.optionals pythonLibrary [ "-D__BUILD_FOR_PYTHON=ON" ];
configurePhase = lib.optionals rLibrary ''
export R_LIBS_SITE="$out/library:$R_LIBS_SITE''${R_LIBS_SITE:+:}"
'';
# set the R package buildPhase to null because lightgbm has a
# custom builder script that builds and installs in one step
buildPhase = lib.optionals rLibrary ''
'';
inherit doCheck;
installPhase = ''
runHook preInstall
'' + lib.optionalString (!rLibrary) ''
mkdir -p $out
mkdir -p $out/lib
mkdir -p $out/bin
cp -r ../include $out
install -Dm755 ../lib_lightgbm.so $out/lib/lib_lightgbm.so
'' + lib.optionalString (!rLibrary && !pythonLibrary) ''
install -Dm755 ../lightgbm $out/bin/lightgbm
'' + lib.optionalString javaWrapper ''
cp -r java $out
cp -r com $out
cp -r lightgbmlib.jar $out
'' + ''
'' + lib.optionalString rLibrary ''
mkdir $out
mkdir $out/tmp
mkdir $out/library
mkdir $out/library/lightgbm
'' + lib.optionalString (rLibrary && (!openclSupport)) ''
Rscript build_r.R \
-j$NIX_BUILD_CORES
rm -rf $out/tmp
'' + lib.optionalString (rLibrary && openclSupport) ''
Rscript build_r.R --use-gpu \
--opencl-library=${ocl-icd}/lib/libOpenCL.so \
--opencl-include-dir=${opencl-headers}/include \
--boost-librarydir=${boost} \
-j$NIX_BUILD_CORES
rm -rf $out/tmp
'' + ''
runHook postInstall
'';
postFixup = lib.optionalString rLibrary ''
if test -e $out/nix-support/propagated-build-inputs; then
ln -s $out/nix-support/propagated-build-inputs $out/nix-support/propagated-user-env-packages
fi
'';
meta = with lib; {
description =
"LightGBM is a gradient boosting framework that uses tree based learning algorithms.";
homepage = "https://github.com/microsoft/LightGBM";
license = licenses.mit;
platforms = platforms.unix;
maintainers = with maintainers; [ nviets ];
};
}