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#!/usr/bin/env python3
"""
Setup script for LLM-Aware Runtime Optimizer
"""
from setuptools import setup, find_packages
import os
# Read the README file
def read_readme():
with open("README.md", "r", encoding="utf-8") as fh:
return fh.read()
# Read requirements
def read_requirements():
with open("requirements_minimal.txt", "r", encoding="utf-8") as fh:
return [line.strip() for line in fh if line.strip() and not line.startswith("#")]
setup(
name="llm-runtime-optimizer",
version="0.1.0",
author="LLM Optimizer Team",
author_email="support@llm-optimizer.com",
description="MLIR-based runtime optimizer for quantized transformer LLMs",
long_description=read_readme(),
long_description_content_type="text/markdown",
url="https://github.com/llm-optimizer/llm-runtime-optimizer",
project_urls={
"Bug Reports": "https://github.com/llm-optimizer/llm-runtime-optimizer/issues",
"Source": "https://github.com/llm-optimizer/llm-runtime-optimizer",
"Documentation": "https://llm-optimizer.readthedocs.io/",
},
packages=find_packages(where="src"),
package_dir={"": "src"},
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules",
],
python_requires=">=3.8",
install_requires=read_requirements(),
extras_require={
"dev": [
"pytest>=7.0.0",
"pytest-cov>=4.0.0",
"pytest-benchmark>=4.0.0",
"black>=22.0.0",
"isort>=5.10.0",
"flake8>=5.0.0",
"mypy>=0.991",
"pre-commit>=2.20.0",
],
"docs": [
"sphinx>=5.0.0",
"sphinx-rtd-theme>=1.0.0",
"myst-parser>=0.17.0",
],
"examples": [
"jupyter>=1.0.0",
"ipykernel>=6.15.0",
"notebook>=6.5.0",
],
},
entry_points={
"console_scripts": [
"llm-optimize=llm_optimizer.cli:main",
"llm-benchmark=llm_optimizer.cli:main",
],
},
include_package_data=True,
zip_safe=False,
keywords="mlir, llm, transformer, optimization, quantization, tensorrt, cuda",
)