import os
from setuptools import setup, find_packages

try:
    import torch
    TORCH_AVAILABLE = True
except ImportError:
    TORCH_AVAILABLE = False

version = "0.1.0"

requirements = [
    "accelerate>=0.18.0",
    "datasets",
    "numpy",
    "rouge",
    "torch>=1.13.0",
    "safetensors",
    "transformers>=4.26.1"
]

extras_require = {
    "llama": ["transformers>=4.28.0"],
    "triton": ["triton>=2.0.0"]
}

include_dirs=["quant_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")
        print(f"checking 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(
                "quant_cuda",
                [
                    "quant_cuda/quant_cuda.cpp",
                    "quant_cuda/quant_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
    )