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authorAndrew W Elble <aweits@rit.edu>2020-04-10 11:53:12 -0400
committerGitHub <noreply@github.com>2020-04-10 10:53:12 -0500
commit42b63e6b7eade3d51f693e085857468bc56a2df9 (patch)
tree2211d2fefa97d37afc9506705406d58675f0a6ff /var
parentaeb628ea74073b85d89f5b7140ddfd0512c48340 (diff)
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new package: py-torchaudio (#15989)
Diffstat (limited to 'var')
-rw-r--r--var/spack/repos/builtin/packages/py-torchaudio/package.py26
1 files changed, 26 insertions, 0 deletions
diff --git a/var/spack/repos/builtin/packages/py-torchaudio/package.py b/var/spack/repos/builtin/packages/py-torchaudio/package.py
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+++ b/var/spack/repos/builtin/packages/py-torchaudio/package.py
@@ -0,0 +1,26 @@
+# 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 PyTorchaudio(PythonPackage):
+ """The aim of torchaudio is to apply PyTorch to the audio
+ domain. By supporting PyTorch, torchaudio follows the same
+ philosophy of providing strong GPU acceleration, having a focus on
+ trainable features through the autograd system, and having
+ consistent style (tensor names and dimension names). Therefore, it
+ is primarily a machine learning library and not a general signal
+ processing library. The benefits of Pytorch is be seen in
+ torchaudio through having all the computations be through Pytorch
+ operations which makes it easy to use and feel like a natural
+ extension."""
+
+ homepage = "https://github.com/pytorch/audio"
+ url = "https://github.com/pytorch/audio/archive/v0.4.0.tar.gz"
+
+ version('0.4.0', sha256='9361312319b1ab880fc348ea82b024053bca6faf477ef6a9232a5b805742dc66')
+
+ depends_on('py-setuptools', type='build')
+ depends_on('sox@14.3.2:')
+ depends_on('py-torch@1.2.0:', type=('build', 'run'))