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| -rw-r--r-- | var/spack/repos/builtin/packages/py-torch-scatter/package.py | 39 |
1 files changed, 39 insertions, 0 deletions
diff --git a/var/spack/repos/builtin/packages/py-torch-scatter/package.py b/var/spack/repos/builtin/packages/py-torch-scatter/package.py new file mode 100644 index 0000000000..7950abb7b9 --- /dev/null +++ b/var/spack/repos/builtin/packages/py-torch-scatter/package.py @@ -0,0 +1,39 @@ +# 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 PyTorchScatter(PythonPackage): + """This package consists of a small extension library of + highly optimized sparse update (scatter and segment) + operations for the use in PyTorch, which are missing in the + main package.""" + + homepage = "https://github.com/rusty1s/pytorch_scatter" + url = "https://github.com/rusty1s/pytorch_scatter/archive/2.0.5.tar.gz" + + version('2.0.5', sha256='e29b364beaa9c84a99e0e236be89ed19d4452d89010ff736184ddcce488b47f6') + + 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-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') |