AutoGPTQ/setup.py
2023-05-25 13:06:10 +08:00

71 lines
1.8 KiB
Python

import os
from setuptools import setup, find_packages
try:
import torch
TORCH_AVAILABLE = True
except ImportError:
TORCH_AVAILABLE = False
version = "0.2.0-dev"
requirements = [
"accelerate>=0.19.0",
"datasets",
"numpy",
"rouge",
"torch>=1.13.0",
"safetensors",
"transformers>=4.29.0",
"peft"
]
extras_require = {
"triton": ["triton>=2.0.0"]
}
include_dirs = ["autogptq_cuda"]
if TORCH_AVAILABLE:
BUILD_CUDA_EXT = int(os.environ.get('BUILD_CUDA_EXT', '1')) == 1
additional_setup_kwargs = dict()
if BUILD_CUDA_EXT and torch.cuda.is_available():
from torch.utils import cpp_extension
from distutils.sysconfig import get_python_lib
conda_cuda_include_dir = os.path.join(get_python_lib(), "nvidia/cuda_runtime/include")
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",
[
"autogptq_cuda/autogptq_cuda.cpp",
"autogptq_cuda/autogptq_cuda_kernel.cu"
]
)
]
additional_setup_kwargs = {
"ext_modules": extensions,
"cmdclass": {'build_ext': cpp_extension.BuildExtension}
}
setup(
name="auto_gptq",
packages=find_packages(),
version=version,
install_requires=requirements,
extras_require=extras_require,
include_dirs=include_dirs,
**additional_setup_kwargs
)
else:
setup(
name="auto_gptq",
packages=find_packages(),
version=version,
install_requires=requirements,
extras_require=extras_require,
include_dirs=include_dirs
)