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Update dependencies: py-torch-geometric (#18265)

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* [py-torch-geometric] depends on py-torch-sparse

* [py-torch-geometric] setting TORCH_CUDA_ARCH_LIST

* [py-torch-geometric] added the rest of the dependencies

* [py-torch-geometric] added cuda variant and added more build env vars

* [py-torch-geometric] added variant info for depenedencies

* [py-torch-geometric] flake8

* [py-torch-geometric] add variant description
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Jen Herting 2020-09-01 14:44:12 -04:00 committed by GitHub
parent f9a330ae99
commit e7f1eeb7af
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1 changed files with 23 additions and 0 deletions
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var/spack/repos/builtin/packages/py-torch-geometric/package.py
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@ -20,6 +20,8 @@ class PyTorchGeometric(PythonPackage):
version('1.6.0', sha256='7d5231cdcc2ebd4444f406cbf1537eb49bf90ab6f446eaf1b7af5cdbe105f3c9') version('1.6.0', sha256='7d5231cdcc2ebd4444f406cbf1537eb49bf90ab6f446eaf1b7af5cdbe105f3c9')
variant('cuda', default=False, description="Enable CUDA support")
depends_on('python@3.6:', type=('build', 'run')) depends_on('python@3.6:', type=('build', 'run'))
depends_on('py-setuptools', type='build') depends_on('py-setuptools', type='build')
depends_on('py-pytest-runner', type='build') depends_on('py-pytest-runner', type='build')
@ -37,3 +39,24 @@ class PyTorchGeometric(PythonPackage):
depends_on('py-h5py~mpi', type=('build', 'run')) depends_on('py-h5py~mpi', type=('build', 'run'))
depends_on('py-ase', type=('build', 'run')) depends_on('py-ase', type=('build', 'run'))
depends_on('py-jinja2', type=('build', 'run')) depends_on('py-jinja2', type=('build', 'run'))
depends_on('py-torch-sparse+cuda', when='+cuda', type=('build', 'run'))
depends_on('py-torch-scatter+cuda', when='+cuda', type=('build', 'run'))
depends_on('py-torch-cluster+cuda', when='+cuda', type=('build', 'run'))
depends_on('py-torch-spline-conv+cuda', when='+cuda', type=('build', 'run'))
depends_on('py-torch-sparse~cuda', when='~cuda', type=('build', 'run'))
depends_on('py-torch-scatter~cuda', when='~cuda', type=('build', 'run'))
depends_on('py-torch-cluster~cuda', when='~cuda', type=('build', 'run'))
depends_on('py-torch-spline-conv~cuda', when='~cuda', type=('build', 'run'))
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')