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# Copyright 2013-2021 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 PyTorchCluster(PythonPackage):
"""This package consists of a small extension library of
highly optimized graph cluster algorithms for the use in
PyTorch."""
homepage = "https://github.com/rusty1s/pytorch_cluster"
url = "https://github.com/rusty1s/pytorch_cluster/archive/1.5.7.tar.gz"
version('1.5.8', sha256='95c6e81e9c4a6235e1b2152ab917021d2060ad995199f6bd7fb39986d37310f0')
version('1.5.7', sha256='71701d2f7f3e458ebe5904c982951349fdb60e6f1654e19c7e102a226e2de72e')
variant('cuda', default=False, description='Enables CUDA support')
depends_on('python@3.6:', type=('build', 'run'))
depends_on('py-setuptools', type='build')
depends_on('py-pytest-runner', type='build')
depends_on('py-scipy', type=('build', 'run'))
depends_on('py-torch+cuda', when='+cuda')
depends_on('py-torch~cuda', when='~cuda')
def setup_build_environment(self, env):
if '+cuda' in self.spec:
cuda_arches = list(
self.spec['py-torch'].variants['cuda_arch'].value)
for i, x in enumerate(cuda_arches):
cuda_arches[i] = '{0}.{1}'.format(x[0:-1], x[-1])
env.set('TORCH_CUDA_ARCH_LIST', str.join(' ', cuda_arches))
env.set('FORCE_CUDA', '1')
env.set('CUDA_HOME', self.spec['cuda'].prefix)
else:
env.set('FORCE_CUDA', '0')
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