#!/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- or 12.1-enabled PyTorch version.\033[0m") cuda_version = torch.version.cuda print(cuda_version) if cuda_version not in ["11.6", "11.7", "11.8", "12.1"]: raise RuntimeError(f"\033[91mUnsupported CUDA version: {cuda_version}. Please install PyTorch with 11.6<=CUDA<=12.1.\033[0m") except: print("\033[93mPlease install torch and torchvision compiled with cuda 11.8 before installing vbench\033[0m") print("\033[93mFor CUDA 11.8, run:\033[0m") print("\033[93m pip install torch torchvision --index-url https://download.pytorch.org/whl/cu118\033[0m") print("\033[93mFor CUDA 12.1, run:\033[0m") print("\033[93m pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121\033[0m") print("\033[93mFor CUDA 11 with PyTorch < 2.0 run:\033[0m") print("\033[93m pip install torch==1.13.1 torchvision==0.14.1\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__)), 'requirements.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='vbench', version='0.1.5', description='Video generation benchmark', long_description=fetch_readme(), long_description_content_type='text/markdown', project_urls={ 'Source': 'https://github.com/Vchitect/VBench', }, entry_points={ 'console_scripts': ['vbench=vbench.cli.vbench:main'] }, install_requires=install_requires, packages=find_packages(), include_package_data=True, license='Apache Software License 2.0', )