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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)
from spack.package import *
class Libcuml(CMakePackage):
"""cuML is a suite of libraries that implement machine
learning algorithms and mathematical primitives functions
that share compatible APIs with other RAPIDS projects."""
homepage = "https://rapids.ai"
url = "https://github.com/rapidsai/cuml/archive/v0.15.0.tar.gz"
version('0.15.0', sha256='5c9c656ae4eaa94a426e07d7385fd5ea0e5dc7abff806af2941aee10d4ca99c7')
depends_on('cmake@3.14:', type='build')
depends_on('zlib')
depends_on('libcudf@0.8:')
depends_on('cuda@9.2:')
depends_on('blas')
depends_on('nccl@2.4:')
depends_on('treelite')
depends_on('googletest')
depends_on('libcumlprims')
depends_on('mpi')
depends_on('ucx')
root_cmakelists_dir = 'cpp'
def cmake_args(self):
args = []
args.append("-DNCCL_PATH={0}".format(self.spec['nccl'].prefix))
args.append("-DBUILD_CUML_C_LIBRARY=ON")
args.append("-DWITH_UCX=ON")
args.append("-DNVTX=OFF")
args.append("-DBUILD_STATIC_FAISS=ON")
args.append("-DSINGLEGPU=OFF")
args.append("-DENABLE_CUMLPRIMS_MG=ON")
args.append("-DBUILD_CUML_MPI_COMMS=ON")
return args
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