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setup.py
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setup.py
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import os
import sys
import platform
import subprocess
from setuptools import setup, find_packages
os.environ["CC"] = "g++"
os.environ["CXX"] = "g++"
common_setup_kwargs = {
"version": "0.0.1.dev0",
"name": "deltazip",
"author": "Xiaozhe Yao",
"description": "Serving LLMs",
"long_description": "Serving LLMs",
"long_description_content_type": "text/markdown",
"url": "https://github.com/eth-easl/deltazip",
"keywords": ["large-language-models", "transformers"],
"platforms": ["linux"],
"classifiers": [
"Environment :: GPU :: NVIDIA CUDA :: 12",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: C++",
],
}
PYPI_RELEASE = 0
BUILD_CUDA_EXT = int(os.environ.get("BUILD_CUDA_EXT", "1")) == 1
if BUILD_CUDA_EXT:
try:
import torch
except:
print(
"Building cuda extension requires PyTorch(>=1.13.0) been installed, please install PyTorch first!"
)
sys.exit(-1)
CUDA_VERSION = None
default_cuda_version = torch.version.cuda
CUDA_VERSION = "".join(
os.environ.get("CUDA_VERSION", default_cuda_version).split(".")
)
if not CUDA_VERSION:
print(
f"Trying to compile deltazip for CUDA, but Pytorch {torch.__version__} "
"is installed without CUDA support."
)
sys.exit(-1)
# For the PyPI release, the version is simply x.x.x to comply with PEP 440.
if not PYPI_RELEASE:
common_setup_kwargs["version"] += f"+cu{CUDA_VERSION}"
include_dirs = ["deltazip/core/csrc"]
with open("requirements.txt") as f:
requirements = f.read().splitlines()
if BUILD_CUDA_EXT:
from torch.utils import cpp_extension
p = int(
subprocess.run(
"cat /proc/cpuinfo | grep cores | head -1",
shell=True,
check=True,
text=True,
stdout=subprocess.PIPE,
).stdout.split(" ")[2]
)
subprocess.call(
[
"python",
"./deltazip/utils/qigen/generate.py",
"--module",
"--search",
"--p",
str(p),
]
)
from distutils.sysconfig import get_python_lib
conda_cuda_include_dir = os.path.join(
get_python_lib(), "nvidia/cuda_runtime/include"
)
print("conda_cuda_include_dir", conda_cuda_include_dir)
if os.path.isdir(conda_cuda_include_dir):
include_dirs.append(conda_cuda_include_dir)
print(f"appending conda cuda include dir {conda_cuda_include_dir}")
extensions = [
cpp_extension.CUDAExtension(
"autogptq_cuda_64",
[
"deltazip/core/csrc/gptq/cuda_64/autogptq_cuda_64.cpp",
"deltazip/core/csrc/gptq/cuda_64/autogptq_cuda_kernel_64.cu",
],
),
cpp_extension.CUDAExtension(
"autogptq_cuda_256",
[
"deltazip/core/csrc/gptq/cuda_256/autogptq_cuda_256.cpp",
"deltazip/core/csrc/gptq/cuda_256/autogptq_cuda_kernel_256.cu",
],
),
]
extensions.append(
cpp_extension.CUDAExtension(
"exllamav2_kernels",
[
"deltazip/core/csrc/exllamav2/ext.cpp",
"deltazip/core/csrc/exllamav2/cuda/q_matrix.cu",
"deltazip/core/csrc/exllamav2/cuda/q_gemm.cu",
],
extra_link_args=[],
)
)
extensions.append(
cpp_extension.CppExtension(
"cQIGen",
["deltazip/core/csrc/qigen/backend.cpp"],
extra_compile_args=[
"-O3",
"-mavx",
"-mavx2",
"-mfma",
"-march=native",
"-ffast-math",
"-ftree-vectorize",
"-faligned-new",
"-std=c++17",
"-fopenmp",
"-fno-signaling-nans",
"-fno-trapping-math",
],
)
)
additional_setup_kwargs = {
"ext_modules": extensions,
"cmdclass": {"build_ext": cpp_extension.BuildExtension},
}
common_setup_kwargs.update(additional_setup_kwargs)
setup(
packages=find_packages(),
install_requires=requirements,
include_dirs=include_dirs,
python_requires=">=3.8.0",
**common_setup_kwargs,
)