New package: py-cuml (#19474)

* [py-cuml] created template

* [py-cuml] setup phases and added build_directory

* [py-cuml] added dependencies

* [py-cuml] depends on libcumlprims

* [py-cuml] requiring multigpu version

* [py-cuml] figuring out the best way to get concretization to happen cleanly

* [py-cuml] removed singlegpu variat from libcuml

* [py-cuml] depends on py-cudf

* [py-cuml] depends on cupy

* [py-cuml] fixed typoo

* [py-cuml] depends on py-scipy

* [py-cuml] depends on py-treelite

* [py-cuml] py-treelite is now a variant of treelite

* [py-cuml] depends on joblib

* [py-cuml] depends on py-scikit-learn

* [py-cuml] flake8

* [py-cuml] added homepage and description. removed fixmes

* [py-cuml] updated checksum
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Jen Herting 2020-11-11 13:27:12 -05:00 committed by GitHub
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# Copyright 2013-2020 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 import *
class PyCuml(PythonPackage):
"""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://github.com/rapidsai/cuml"
url = "https://github.com/rapidsai/cuml/archive/v0.15.0.tar.gz"
version('0.15.0', sha256='5c9c656ae4eaa94a426e07d7385fd5ea0e5dc7abff806af2941aee10d4ca99c7')
depends_on('python@3.7:', type=('build', 'run'))
depends_on('py-setuptools', type='build')
depends_on('py-cython', type='build')
depends_on('py-numpy', type=('build', 'run'))
depends_on('py-numba', type=('build', 'run'))
depends_on('py-cudf', type=('build', 'run'))
depends_on('cuda')
depends_on('py-cupy', type=('build', 'run'))
depends_on('py-scipy', type=('build', 'run'))
depends_on('treelite+python', type=('build', 'run'))
depends_on('py-joblib', type=('build', 'run'))
depends_on('py-scikit-learn', type=('build', 'run'))
for v in ('11.0', '10.2', '10.1'):
depends_on(
'libcumlprims@0.15.0-cuda{0}_gdbd0d39_0'.format(v),
when='^cuda@{0}'.format(v))
for v in ('@0.15.0',):
depends_on('libcuml{0}'.format(v), when=v)
phases = ['build_ext', 'install']
build_directory = 'python'