2023-09-12 01:04:11 -06:00
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import io
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import os
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import re
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from typing import List
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import setuptools
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from torch.utils.cpp_extension import BuildExtension
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ROOT_DIR = os.path.dirname(__file__)
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"""
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Build vllm-gptq without any CUDA
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"""
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def get_path(*filepath) -> str:
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return os.path.join(ROOT_DIR, *filepath)
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def find_version(filepath: str):
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"""Extract version information from the given filepath.
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Adapted from https://github.com/ray-project/ray/blob/0b190ee1160eeca9796bc091e07eaebf4c85b511/python/setup.py
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"""
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with open(filepath) as fp:
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version_match = re.search(
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r"^__version__ = ['\"]([^'\"]*)['\"]", fp.read(), re.M)
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if version_match:
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return version_match.group(1)
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raise RuntimeError("Unable to find version string.")
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def read_readme() -> str:
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"""Read the README file."""
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return io.open(get_path("README.md"), "r", encoding="utf-8").read()
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def get_requirements() -> List[str]:
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"""Get Python package dependencies from requirements.txt."""
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with open(get_path("requirements.txt")) as f:
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requirements = f.read().strip().split("\n")
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return requirements
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setuptools.setup(
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name="vllm-gptq",
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2023-09-13 11:22:33 -06:00
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version=find_version(get_path("", "__init__.py")),
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2023-09-12 01:04:11 -06:00
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author="vLLM Team",
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license="Apache 2.0",
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description="A high-throughput and memory-efficient inference and serving engine for LLMs",
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long_description=read_readme(),
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long_description_content_type="text/markdown",
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url="https://github.com/vllm-project/vllm",
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project_urls={
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"Homepage": "https://github.com/vllm-project/vllm",
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"Documentation": "https://vllm.readthedocs.io/en/latest/",
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},
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classifiers=[
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"License :: OSI Approved :: Apache Software License",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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],
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packages=setuptools.find_packages(
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exclude=("assets", "benchmarks", "csrc", "docs", "examples", "tests")),
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python_requires=">=3.8",
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install_requires=get_requirements(),
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cmdclass={"build_ext": BuildExtension},
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)
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