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setup.py
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setup.py
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from setuptools import setup, find_packages
exec(open('denoising_diffusion_pytorch/version.py').read())
setup(
name = 'denoising-diffusion-pytorch',
packages = find_packages(),
version = __version__,
license='MIT',
description = 'Denoising Diffusion Probabilistic Models - Pytorch',
author = 'Phil Wang',
author_email = 'lucidrains@gmail.com',
url = 'https://github.com/lucidrains/denoising-diffusion-pytorch',
long_description_content_type = 'text/markdown',
keywords = [
'artificial intelligence',
'generative models'
],
install_requires=[
'accelerate',
'einops',
'ema-pytorch',
'numpy',
'pillow',
'pytorch-fid',
'torch',
'torchvision',
'tqdm'
],
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.6',
],
)