27 lines
1.2 KiB
Python
27 lines
1.2 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 PyTorchaudio(PythonPackage):
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"""The aim of torchaudio is to apply PyTorch to the audio
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domain. By supporting PyTorch, torchaudio follows the same
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philosophy of providing strong GPU acceleration, having a focus on
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trainable features through the autograd system, and having
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consistent style (tensor names and dimension names). Therefore, it
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is primarily a machine learning library and not a general signal
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processing library. The benefits of Pytorch is be seen in
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torchaudio through having all the computations be through Pytorch
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operations which makes it easy to use and feel like a natural
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extension."""
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homepage = "https://github.com/pytorch/audio"
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url = "https://github.com/pytorch/audio/archive/v0.4.0.tar.gz"
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version('0.4.0', sha256='9361312319b1ab880fc348ea82b024053bca6faf477ef6a9232a5b805742dc66')
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depends_on('py-setuptools', type='build')
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depends_on('sox@14.3.2:')
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depends_on('py-torch@1.2.0:', type=('build', 'run'))
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