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New package: py-torch-spline-conv (#18273)

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* [py-torch-spline-conv] created template

* [py-torch-spline-conv] specified version of python

* [py-torch-spline-conv] extends py-torch-cluster

* [py-torch-spline-conv] setting TORCH_CUDA_ARCH_LIST

* [py-torch-spline-conv] limiting extension to py-torch

* [py-torch-spline-conv] added cuda variant and setting env vars

* [py-torch-spline-conv] added homepage and description. removed fixmes

* [py-torch-spline-conv] added variant cuda

* [py-torch-spline-conv] flake8

* [py-torch-spline-conv] added variant description

* [py-torch-spline-conv] extends -> depends_on

* [py-torch-spline-conv] added dependencies py-setuptools and py-pytorch-runner
This commit is contained in:
Jen Herting 2020-08-31 11:10:21 -04:00 committed by GitHub
parent f4a37b2dc2
commit 47ef8d9deb
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# 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 PyTorchSplineConv(PythonPackage):
"""This is a PyTorch implementation of the spline-based
convolution operator of SplineCNN."""
homepage = "https://github.com/rusty1s/pytorch_spline_conv"
url = "https://github.com/rusty1s/pytorch_spline_conv/archive/1.2.0.tar.gz"
version('1.2.0', sha256='ab8da41357c8a4785662366655bb6dc5e84fd0e938008194955409aefe535009')
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')