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# Copyright 2013-2022 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']
version('master', branch='master', submodules=True)
version('1.6.1', tag='v1.6.1', submodules=True)
version('1.5.2', tag='v1.5.2', submodules=True)
version('1.3.3', tag='v1.3.3', 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('ninja', 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')
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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