40 lines
1.6 KiB
Python
40 lines
1.6 KiB
Python
# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack import *
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class PyTorchSparse(PythonPackage):
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"""This package consists of a small extension library of
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optimized sparse matrix operations with autograd support."""
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homepage = "https://github.com/rusty1s/pytorch_sparse/"
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url = "https://github.com/rusty1s/pytorch_sparse/archive/0.6.7.tar.gz"
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version('0.6.8', sha256='98f7ff1f0f9cd5031bc81c70c11970c3864545ae33677025a6efd2466a97e6f9')
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version('0.6.7', sha256='0d038a1502548692972a085cd0496460b5d2050bb7328427add990f081d6c44d')
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variant('cuda', default=False, description="Enable CUDA support")
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depends_on('python@3.6:', type=('build', 'run'))
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depends_on('py-setuptools', type='build')
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depends_on('py-pytest-runner', type='build')
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depends_on('py-scipy', type=('build', 'run'))
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depends_on('py-torch-scatter+cuda', when='+cuda')
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depends_on('py-torch-scatter~cuda', when='~cuda')
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def setup_build_environment(self, env):
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if '+cuda' in self.spec:
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cuda_arches = list(
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self.spec['py-torch'].variants['cuda_arch'].value)
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for i, x in enumerate(cuda_arches):
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cuda_arches[i] = '{0}.{1}'.format(x[0:-1], x[-1])
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env.set('TORCH_CUDA_ARCH_LIST', str.join(' ', cuda_arches))
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env.set('FORCE_CUDA', '1')
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env.set('CUDA_HOME', self.spec['cuda'].prefix)
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else:
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env.set('FORCE_CUDA', '0')
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