
* [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
44 lines
1.6 KiB
Python
44 lines
1.6 KiB
Python
# Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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class PyTorchNvidiaApex(PythonPackage, CudaPackage):
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"""A PyTorch Extension: Tools for easy mixed precision and
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distributed training in Pytorch """
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homepage = "https://github.com/nvidia/apex/"
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git = "https://github.com/nvidia/apex/"
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phases = ['install']
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version('master', branch='master')
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version('2020-10-19', commit='8a1ed9e8d35dfad26fb973996319965e4224dcdd')
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depends_on('python@3:', type=('build', 'run'))
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depends_on('py-setuptools', type='build')
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depends_on('py-torch@0.4:', type=('build', 'run'))
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depends_on('cuda@9:', when='+cuda')
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depends_on('py-pybind11', type=('build', 'link', 'run'))
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variant('cuda', default=True, description='Build with CUDA')
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def setup_build_environment(self, env):
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if '+cuda' in self.spec:
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env.set('CUDA_HOME', self.spec['cuda'].prefix)
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if (self.spec.variants['cuda_arch'].value[0] != 'none'):
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torch_cuda_arch = ';'.join(
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'{0:.1f}'.format(float(i) / 10.0) for i
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in
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self.spec.variants['cuda_arch'].value)
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env.set('TORCH_CUDA_ARCH_LIST', torch_cuda_arch)
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def install_args(self, spec, prefix):
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args = super(PyTorchNvidiaApex, self).install_args(spec, prefix)
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if spec.satisfies('^py-torch@1.0:'):
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args.append('--cpp_ext')
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if '+cuda' in spec:
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args.append('--cuda_ext')
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return args
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