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setup.py
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setup.py
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from setuptools import setup, find_packages
setup(
name = 'egnn-pytorch',
packages = find_packages(),
version = '0.2.7',
license='MIT',
description = 'E(n)-Equivariant Graph Neural Network - Pytorch',
long_description_content_type = 'text/markdown',
author = 'Phil Wang, Eric Alcaide',
author_email = 'lucidrains@gmail.com',
url = 'https://github.com/lucidrains/egnn-pytorch',
keywords = [
'artificial intelligence',
'deep learning',
'equivariance',
'graph neural network'
],
install_requires=[
'einops>=0.3',
'numba',
'numpy',
'torch>=1.6'
],
setup_requires=[
'pytest-runner',
],
tests_require=[
'pytest'
],
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.6',
],
)