zhangyiss/spack
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

New package: py-torch-scatter (#18263)

Browse Source 
* [py-torch-scatter] created template

* [py-torch-scatter] listed specific version of python

* [py-torch-scatter] extends py-torch

* [py-torch-scatter] setting TORCH_CUDA_ARCH_LIST

* [py-torch-scatter] setting more environemnt variables and added variant cuda

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

* [py-torch-scatter] flake8

* [py-torch-scatter] Added variant description

* [py-torch-scatter] extends -> depends_on

* [py-torch-scatter] added dependencies of setup tools and pytest-runner
This commit is contained in:
Jen Herting 2020-08-31 11:11:00 -04:00 committed by GitHub
parent 47ef8d9deb
commit f659927938
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 39 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

39
var/spack/repos/builtin/packages/py-torch-scatter/package.py Normal file
View File

@ -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')