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# Copyright 2013-2023 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import os
from spack.package import *
class Xgboost(CMakePackage, CudaPackage):
"""XGBoost is an optimized distributed gradient boosting library designed to be
highly efficient, flexible and portable. It implements machine learning algorithms
under the Gradient Boosting framework. XGBoost provides a parallel tree boosting
(also known as GBDT, GBM) that solve many data science problems in a fast and
accurate way. The same code runs on major distributed environment (Hadoop, SGE, MPI)
and can solve problems beyond billions of examples."""
homepage = "https://xgboost.ai/"
git = "https://github.com/dmlc/xgboost.git"
maintainers("adamjstewart")
license("Apache-2.0")
version("master", branch="master", submodules=True)
version(
"1.6.2", tag="v1.6.2", commit="b9934246faa9a25e10a12339685dfbe56d56f70b", submodules=True
)
version(
"1.6.1", tag="v1.6.1", commit="5d92a7d936fc3fad4c7ecb6031c3c1c7da882a14", submodules=True
)
version(
"1.5.2", tag="v1.5.2", commit="742c19f3ecf2135b4e008a4f4a10b59add8b1045", submodules=True
)
version(
"1.3.3", tag="v1.3.3", commit="000292ce6d99ed658f6f9aebabc6e9b330696e7e", submodules=True
)
variant("nccl", default=False, description="Build with NCCL to enable distributed GPU support")
variant("openmp", default=True, description="Build with OpenMP support")
depends_on("cmake@3.13:", type="build")
depends_on("cmake@3.16:", when="platform=darwin", type="build")
depends_on("cuda@10:", when="+cuda")
# https://github.com/dmlc/xgboost/pull/7379
depends_on("cuda@10:11.4", when="@:1.5.0+cuda")
depends_on("nccl", when="+nccl")
depends_on("llvm-openmp", when="%apple-clang +openmp")
depends_on("hwloc", when="%clang")
# https://github.com/dmlc/xgboost/issues/6972
conflicts("%gcc@:7", when="+cuda")
conflicts("%gcc@:4", msg="GCC version must be at least 5.0!")
conflicts("+nccl", when="~cuda", msg="NCCL requires CUDA")
conflicts("+cuda", when="~openmp", msg="CUDA requires OpenMP")
conflicts(
"cuda_arch=none",
when="+cuda",
msg="Must specify CUDA compute capabilities of your GPU, see "
"https://developer.nvidia.com/cuda-gpus",
)
generator("ninja")
def cmake_args(self):
# https://xgboost.readthedocs.io/en/latest/build.html
args = [
self.define_from_variant("USE_CUDA", "cuda"),
self.define_from_variant("USE_NCCL", "nccl"),
self.define_from_variant("USE_OPENMP", "openmp"),
]
if "+cuda" in self.spec:
args.append(self.define("GPU_COMPUTE_VER", self.spec.variants["cuda_arch"].value))
if "@1.5: ^cuda@11.4:" in self.spec:
args.append(self.define("BUILD_WITH_CUDA_CUB", True))
if self.spec.satisfies("+openmp%clang"):
OpenMP_C_FLAGS = "-fopenmp=libomp"
OpenMP_C_LIB_NAMES = "libomp"
args += [
self.define("OpenMP_C_FLAGS", OpenMP_C_FLAGS),
self.define("OpenMP_C_LIB_NAMES", OpenMP_C_LIB_NAMES),
self.define("OpenMP_CXX_FLAGS", OpenMP_C_FLAGS),
self.define("OpenMP_CXX_LIB_NAMES", OpenMP_C_LIB_NAMES),
]
clang = self.compiler.cc
clang_bin = os.path.dirname(clang)
clang_root = os.path.dirname(clang_bin)
args += [
self.define(
"OpenMP_libomp_LIBRARY",
find_libraries("libomp", root=clang_root, shared=True, recursive=True),
)
]
return args
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