import os import re import subprocess import sys from pathlib import Path from setuptools import find_packages, setup pwd = os.path.dirname(__file__) version_file = 'lmdeploy/version.py' def get_target_device(): return os.getenv('LMDEPLOY_TARGET_DEVICE', 'cuda') def readme(): with open(os.path.join(pwd, 'README.md'), encoding='utf-8') as f: content = f.read() return content def get_version(): file_path = os.path.join(pwd, version_file) pattern = re.compile(r"\s*__version__\s*=\s*'([0-9A-Za-z.-]+)'") with open(file_path) as f: for line in f: m = pattern.match(line) if m: return m.group(1) else: assert False, f'No version found {file_path}' def get_turbomind_deps(): if os.name == 'nt': return [] CUDA_COMPILER = os.getenv('CUDACXX', os.getenv('CMAKE_CUDA_COMPILER', 'nvcc')) nvcc_output = subprocess.check_output([CUDA_COMPILER, '--version'], stderr=subprocess.DEVNULL).decode() CUDAVER, = re.search(r'release\s+(\d+).', nvcc_output).groups() if int(CUDAVER) >= 13: return [ f'nvidia-nccl-cu{CUDAVER}', 'nvidia-cuda-runtime', 'nvidia-cublas', 'nvidia-curand', ] else: return [ f'nvidia-nccl-cu{CUDAVER}', f'nvidia-cuda-runtime-cu{CUDAVER}', f'nvidia-cublas-cu{CUDAVER}', f'nvidia-curand-cu{CUDAVER}', ] def parse_requirements(fname='requirements.txt', with_version=True): """Parse the package dependencies listed in a file but strips specific versioning information. Args: fname (str): path to the file with_version (bool, default=False): if True include version specs Returns: list[str]: list of requirements items CommandLine: python -c "import setup; print(setup.parse_requirements())" """ require_fpath = fname def parse_line(line): """Parse information from a line in a requirements text file.""" if line.startswith('-r '): # Allow specifying requirements in other files target = line.split(' ')[1] for info in parse_require_file(target): yield info else: info = {'line': line} if line.startswith('-e '): info['package'] = line.split('#egg=')[1] elif '@git+' in line: info['package'] = line else: # Remove versioning from the package pat = '(' + '|'.join(['>=', '==', '>']) + ')' parts = re.split(pat, line, maxsplit=1) parts = [p.strip() for p in parts] info['package'] = parts[0] if len(parts) > 1: op, rest = parts[1:] if ';' in rest: # Handle platform specific dependencies # http://setuptools.readthedocs.io/en/latest/setuptools.html#declaring-platform-specific-dependencies version, platform_deps = map(str.strip, rest.split(';')) info['platform_deps'] = platform_deps else: version = rest # NOQA info['version'] = (op, version) yield info def parse_require_file(fpath): with open(fpath) as f: for line in f.readlines(): line = line.strip() if line and not line.startswith('#'): yield from parse_line(line) def gen_packages_items(): if os.path.exists(require_fpath): for info in parse_require_file(require_fpath): parts = [info['package']] if with_version and 'version' in info: parts.extend(info['version']) if not sys.version.startswith('3.4'): # apparently package_deps are broken in 3.4 platform_deps = info.get('platform_deps') if platform_deps is not None: parts.append(';' + platform_deps) item = ''.join(parts) yield item packages = list(gen_packages_items()) return packages if get_target_device() == 'cuda' and os.getenv('DISABLE_TURBOMIND', '').lower() not in ('yes', 'true', 'on', 't', '1'): import cmake_build_extension ext_modules = [ cmake_build_extension.CMakeExtension( name='_turbomind', install_prefix='lmdeploy/lib', cmake_depends_on=['pybind11'], source_dir=str(Path(__file__).parent.absolute()), cmake_generator=None if os.name == 'nt' else 'Ninja', cmake_build_type=os.getenv('CMAKE_BUILD_TYPE', 'Release'), cmake_configure_options=[ f'-DPython3_ROOT_DIR={Path(sys.prefix)}', f'-DPYTHON_EXECUTABLE={Path(sys.executable)}', '-DCALL_FROM_SETUP_PY:BOOL=ON', '-DBUILD_SHARED_LIBS:BOOL=OFF', # Select the bindings implementation '-DBUILD_PY_FFI=ON', '-DBUILD_MULTI_GPU=' + ('OFF' if os.name == 'nt' else 'ON'), '-DUSE_NVTX=' + ('OFF' if os.name == 'nt' else 'ON'), ], ), ] extra_deps = get_turbomind_deps() cmdclass = dict(build_ext=cmake_build_extension.BuildExtension, ) else: ext_modules = [] cmdclass = {} extra_deps = [] if __name__ == '__main__': setup( name='lmdeploy', version=get_version(), description='A toolset for compressing, deploying and serving LLM', long_description=readme(), long_description_content_type='text/markdown', author='OpenMMLab', author_email='openmmlab@gmail.com', packages=find_packages(exclude=()), include_package_data=True, setup_requires=parse_requirements('requirements/build.txt'), tests_require=parse_requirements('requirements/test.txt'), install_requires=parse_requirements(f'requirements/runtime_{get_target_device()}.txt') + extra_deps, extras_require={ 'all': parse_requirements(f'requirements_{get_target_device()}.txt'), 'lite': parse_requirements('requirements/lite.txt'), 'serve': parse_requirements('requirements/serve.txt'), }, classifiers=[ 'Programming Language :: Python :: 3.10', 'Programming Language :: Python :: 3.11', 'Programming Language :: Python :: 3.12', 'Programming Language :: Python :: 3.13', 'Intended Audience :: Developers', 'Intended Audience :: Education', 'Intended Audience :: Science/Research', ], entry_points={'console_scripts': ['lmdeploy = lmdeploy.cli:run']}, ext_modules=ext_modules, cmdclass=cmdclass, )