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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 PyRmm(PythonPackage):
"""RMM: RAPIDS Memory Manager. Achieving optimal
performance in GPU-centric workflows frequently requires
customizing how host and device memory are allocated."""
homepage = "https://github.com/rapidsai/rmm"
url = "https://github.com/rapidsai/rmm/archive/v0.15.0.tar.gz"
license("Apache-2.0")
version("0.15.0", sha256="599f97b95d169a90d11296814763f7e151a8a1e060ba10bc6c8f4684a5cd7972")
depends_on("python@3.6:", type=("build", "run"))
depends_on("py-setuptools", type="build")
depends_on("py-cython", type="build")
depends_on("py-numba", type=("build", "run"))
for v in ("@0.15.0",):
depends_on("librmm" + v, when=v)
depends_on("cuda@9:")
depends_on("spdlog")
build_directory = "python"
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