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setup.py
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setup.py
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import setuptools
# read the contents of your README file
from os import path
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setuptools.setup(
name = 'torchattacks',
version = '3.5.1',
description='Torchattacks is a PyTorch library that provides adversarial attacks to generate adversarial examples.',
author = 'Harry Kim',
author_email='[email protected]',
packages = setuptools.find_packages(),
keyword = ['deeplearning', 'adversarial', 'attack', 'pytorch', 'torch',
'rpgd', 'eotpgd', 'pgd', 'fgsm', 'cw', 'rfgsm', 'ifgsm', 'iterll',
'bim', 'stepll', 'deepfool', 'trades', 'fast', 'mifgsm',
'dlr', 'apgd', 'fab', 'square', 'autoattack', 'difgsm', 'pixle'
],
install_requires=[
'torch>=1.7.1', 'torchvision>=0.8.2', 'scipy>=0.14.0', 'tqdm>=4.56.1',
'requests~=2.25.1', 'numpy>=1.19.4',
],
python_requires = '>=3',
zip_safe = False,
license="MIT",
url = 'https://github.com/HarryK24/adversairal-attacks-pytorch',
classifiers = [
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 5 - Production/Stable',
# Indicate who your project is intended for
'Intended Audience :: Developers',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Scientific/Engineering :: Visualization',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: MIT License',
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
'Programming Language :: Python :: 3.6',
'Operating System :: OS Independent',
],
include_package_data=True,
)