OpenDeltaMirror/examples/legacies/setup_seq2seq.py

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"""Install Compacter."""
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import os
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import setuptools
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
#os.environ['TORCH_CUDA_ARCH_LIST']="3.5;3.7;6.1;7.0;7.5;8.6+PTX"
def setup_package():
long_description = "examples_seq2seq"
setuptools.setup(
name='examples_seq2seq',
version='0.0.1',
description='seq2seq example',
long_description=long_description,
long_description_content_type='text/markdown',
author='Shengding Hu',
license='MIT License',
packages=setuptools.find_packages(
exclude=['docs', 'tests', 'scripts']),
dependency_links=[
'https://download.pytorch.org/whl/torch_stable.html',
],
classifiers=[
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.7.10',
],
keywords='text nlp machinelearning',
cmdclass={"build_ext": BuildExtension},
install_requires=[
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"pyarrow==7.0.0",
"datasets==1.17.0"
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],
)
if __name__ == '__main__':
setup_package()