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#!/usr/bin/env python
from setuptools import find_packages, setup
import os
def check_torch_version():
try:
import torch
if not torch.cuda.is_available():
raise RuntimeError("\033[91mCUDA is not available. Please install a CUDA 11.8-enabled PyTorch version.\033[0m")
cuda_version = torch.version.cuda
print(cuda_version)
if cuda_version not in ["11.8"]:
raise RuntimeError(f"\033[91mUnsupported CUDA version: {cuda_version}. Please install PyTorch with CUDA 11.8.\033[0m")
except:
print("\033[93mPlease install torch and torchvision compiled with cuda 11.8 before installing vbench2\033[0m")
print("\033[93mFor CUDA 11.8, run:\033[0m")
print("\033[93m pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/cu118\033[0m")
raise
def fetch_readme():
with open('README-pypi.md', encoding='utf-8') as f:
text = f.read()
return text
def fetch_requirements():
filename = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'requirement.txt')
with open(filename, 'r') as f:
envs = [line.rstrip('\n') for line in f.readlines() if '@' not in line]
return envs
install_requires = fetch_requirements()
check_torch_version()
setup(name='vbench2',
version='0.1.1',
description='Video generation benchmark',
long_description=fetch_readme(),
long_description_content_type='text/markdown',
project_urls={
'Source': 'https://github.com/Vchitect/VBench/tree/master/VBench-2.0',
},
entry_points={
'console_scripts': ['vbench2=vbench2.cli.vbench2:main']
},
install_requires=install_requires,
packages=find_packages(),
include_package_data=True,
license='Apache Software License 2.0',
)