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- # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
- # Redistribution and use in source and binary forms, with or without
- # modification, are permitted provided that the following conditions are met:
- # * Redistributions of source code must retain the above copyright
- # notice, this list of conditions and the following disclaimer.
- # * Redistributions in binary form must reproduce the above copyright
- # notice, this list of conditions and the following disclaimer in the
- # documentation and/or other materials provided with the distribution.
- # * Neither the name of the NVIDIA CORPORATION nor the
- # names of its contributors may be used to endorse or promote products
- # derived from this software without specific prior written permission.
- # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
- # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
- # WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
- # DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
- # DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
- # (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
- # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
- # ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
- # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
- # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- from setuptools import setup, find_packages
- def get_requirements(filename='requirements.txt'):
- deps = []
- with open(filename, 'r') as f:
- for pkg in f.readlines():
- if pkg.strip():
- deps.append(pkg)
- return deps
- setup(
- name='fastspeech',
- version='0.2.2',
- description='FastSpeech training and inference in PyTorch and TensorRT',
- author='Dabi Ahn',
- keywords='tts',
- packages=find_packages(),
- install_requires=get_requirements(),
- python_requires='>=3',
- include_package_data=True
- )
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