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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)
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-api")
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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