From bc93632c0698e9b0eea9484d03e52d2aabde8caf Mon Sep 17 00:00:00 2001 From: Jen Herting Date: Mon, 31 Aug 2020 16:43:30 -0400 Subject: New package: py-torch-sparse (#18270) * [py-torch-sparse] created template * [py-torch-sparse] added dependencies * [py-torch-sparse] extends py-torch-scatter * [py-torch-sparse] added variant cuda and setting env vars * [py-torch-sparse] added homepage and description. removed fixmes * [py-torch-sparse] flake8 * [py-torch-sparse] added variant description * [py-torch-sparse] extends -> depends on * [py-torch-sparse] added dependencies of py-setuptools and py-pytest-runner --- .../builtin/packages/py-torch-sparse/package.py | 38 ++++++++++++++++++++++ 1 file changed, 38 insertions(+) create mode 100644 var/spack/repos/builtin/packages/py-torch-sparse/package.py (limited to 'var') diff --git a/var/spack/repos/builtin/packages/py-torch-sparse/package.py b/var/spack/repos/builtin/packages/py-torch-sparse/package.py new file mode 100644 index 0000000000..4c16b1d8a7 --- /dev/null +++ b/var/spack/repos/builtin/packages/py-torch-sparse/package.py @@ -0,0 +1,38 @@ +# 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 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('0.6.7', 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-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') -- cgit v1.2.3-70-g09d2