xref: /aosp_15_r20/external/libopus/dnn/torch/dnntools/setup.py (revision a58d3d2adb790c104798cd88c8a3aff4fa8b82cc)
1*a58d3d2aSXin Li"""
2*a58d3d2aSXin Li/* Copyright (c) 2023 Amazon
3*a58d3d2aSXin Li   Written by Jan Buethe */
4*a58d3d2aSXin Li/*
5*a58d3d2aSXin Li   Redistribution and use in source and binary forms, with or without
6*a58d3d2aSXin Li   modification, are permitted provided that the following conditions
7*a58d3d2aSXin Li   are met:
8*a58d3d2aSXin Li
9*a58d3d2aSXin Li   - Redistributions of source code must retain the above copyright
10*a58d3d2aSXin Li   notice, this list of conditions and the following disclaimer.
11*a58d3d2aSXin Li
12*a58d3d2aSXin Li   - Redistributions in binary form must reproduce the above copyright
13*a58d3d2aSXin Li   notice, this list of conditions and the following disclaimer in the
14*a58d3d2aSXin Li   documentation and/or other materials provided with the distribution.
15*a58d3d2aSXin Li
16*a58d3d2aSXin Li   THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
17*a58d3d2aSXin Li   ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
18*a58d3d2aSXin Li   LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
19*a58d3d2aSXin Li   A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
20*a58d3d2aSXin Li   OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
21*a58d3d2aSXin Li   EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
22*a58d3d2aSXin Li   PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
23*a58d3d2aSXin Li   PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
24*a58d3d2aSXin Li   LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
25*a58d3d2aSXin Li   NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
26*a58d3d2aSXin Li   SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
27*a58d3d2aSXin Li*/
28*a58d3d2aSXin Li"""
29*a58d3d2aSXin Li
30*a58d3d2aSXin Li#!/usr/bin/env/python
31*a58d3d2aSXin Liimport os
32*a58d3d2aSXin Lifrom setuptools import setup
33*a58d3d2aSXin Li
34*a58d3d2aSXin Lilib_folder = os.path.dirname(os.path.realpath(__file__))
35*a58d3d2aSXin Li
36*a58d3d2aSXin Liwith open(os.path.join(lib_folder, 'requirements.txt'), 'r') as f:
37*a58d3d2aSXin Li    install_requires = list(f.read().splitlines())
38*a58d3d2aSXin Li
39*a58d3d2aSXin Liprint(install_requires)
40*a58d3d2aSXin Li
41*a58d3d2aSXin Lisetup(name='dnntools',
42*a58d3d2aSXin Li      version='1.0',
43*a58d3d2aSXin Li      author='Jan Buethe',
44*a58d3d2aSXin Li      author_email='[email protected]',
45*a58d3d2aSXin Li      description='Non-Standard tools for deep neural network training with PyTorch',
46*a58d3d2aSXin Li      packages=['dnntools', 'dnntools.sparsification', 'dnntools.quantization'],
47*a58d3d2aSXin Li      install_requires=install_requires
48*a58d3d2aSXin Li      )
49