spack/var/spack/repos/builtin/packages/py-torch-nvidia-apex/package.py
Jen Herting 518124c14a
[py-torch-nvidia-apex] added version 201019 and added dependency on p… (#19548)
* [py-torch-nvidia-apex] added version 201019 and added dependency on py-pybind11

* [py-torch-nvidia-apex] changed versioning format

* [py-torch-nvidia-apex] removed redundent version condition

* [py-torch-nvidia-apex] removed condition on dependency
2020-10-29 11:20:18 -05:00

44 lines
1.6 KiB
Python

# 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)
class PyTorchNvidiaApex(PythonPackage, CudaPackage):
"""A PyTorch Extension: Tools for easy mixed precision and
distributed training in Pytorch """
homepage = "https://github.com/nvidia/apex/"
git = "https://github.com/nvidia/apex/"
phases = ['install']
version('master', branch='master')
version('2020-10-19', commit='8a1ed9e8d35dfad26fb973996319965e4224dcdd')
depends_on('python@3:', type=('build', 'run'))
depends_on('py-setuptools', type='build')
depends_on('py-torch@0.4:', type=('build', 'run'))
depends_on('cuda@9:', when='+cuda')
depends_on('py-pybind11', type=('build', 'link', 'run'))
variant('cuda', default=True, description='Build with CUDA')
def setup_build_environment(self, env):
if '+cuda' in self.spec:
env.set('CUDA_HOME', self.spec['cuda'].prefix)
if (self.spec.variants['cuda_arch'].value[0] != 'none'):
torch_cuda_arch = ';'.join(
'{0:.1f}'.format(float(i) / 10.0) for i
in
self.spec.variants['cuda_arch'].value)
env.set('TORCH_CUDA_ARCH_LIST', torch_cuda_arch)
def install_args(self, spec, prefix):
args = super(PyTorchNvidiaApex, self).install_args(spec, prefix)
if spec.satisfies('^py-torch@1.0:'):
args.append('--cpp_ext')
if '+cuda' in spec:
args.append('--cuda_ext')
return args