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setup.py
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setup.py
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from setuptools import setup, find_packages
exec(open('equiformer_pytorch/version.py').read())
setup(
name = 'equiformer-pytorch',
packages = find_packages(exclude=[]),
version = __version__,
license='MIT',
description = 'Equiformer - SE3/E3 Graph Attention Transformer for Molecules and Proteins',
author = 'Phil Wang',
author_email = 'lucidrains@gmail.com',
long_description_content_type = 'text/markdown',
url = 'https://github.com/lucidrains/equiformer-pytorch',
keywords = [
'artificial intelligence',
'deep learning',
'transformers',
'attention mechanism',
'equivariance',
'molecules',
'proteins'
],
install_requires=[
'beartype',
'einops>=0.6',
'einx',
'filelock',
'opt-einsum',
'taylor-series-linear-attention>=0.1.4',
'torch>=1.6',
],
setup_requires=[
'pytest-runner',
],
tests_require=[
'pytest'
],
include_package_data = True,
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.6',
],
)