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# Copyright 2013-2022 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.package import *
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/"
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_options(self, spec, prefix):
args = []
if spec.satisfies('^py-torch@1.0:'):
args.append('--cpp_ext')
if '+cuda' in spec:
args.append('--cuda_ext')
return args
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