1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
|
# 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 import *
class PyTorchSparse(PythonPackage):
"""This package consists of a small extension library of
optimized sparse matrix operations with autograd support."""
homepage = "https://github.com/rusty1s/pytorch_sparse/"
url = "https://github.com/rusty1s/pytorch_sparse/archive/0.6.7.tar.gz"
version('0.6.8', sha256='98f7ff1f0f9cd5031bc81c70c11970c3864545ae33677025a6efd2466a97e6f9')
version('0.6.7', sha256='0d038a1502548692972a085cd0496460b5d2050bb7328427add990f081d6c44d')
variant('cuda', default=False, description="Enable 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', type=('build', 'run'))
depends_on('py-torch-scatter+cuda', when='+cuda')
depends_on('py-torch-scatter~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')
|
