InternImage/classification/ops_dcnv3/setup.py at 6d2a76078439dbb65de22d5228cee4bd038f77b5 · OpenGVLab/InternImage · GitHub

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# --------------------------------------------------------
# InternImage
# Copyright (c) 2022 OpenGVLab
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------

import glob
import os

import torch
from setuptools import find_packages, setup
from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension

requirements = ['torch', 'torchvision']


def get_extensions():
    this_dir = os.path.dirname(os.path.abspath(__file__))
    extensions_dir = os.path.join(this_dir, 'src')

    main_file = glob.glob(os.path.join(extensions_dir, '*.cpp'))
    source_cpu = glob.glob(os.path.join(extensions_dir, 'cpu', '*.cpp'))
    source_cuda = glob.glob(os.path.join(extensions_dir, 'cuda', '*.cu'))

    sources = main_file + source_cpu
    extension = CppExtension
    extra_compile_args = {'cxx': ['-O2']}
    define_macros = []

    if torch.cuda.is_available() and CUDA_HOME is not None:
        extension = CUDAExtension
        sources += source_cuda
        define_macros += [('WITH_CUDA', None)]
        extra_compile_args['nvcc'] = [
            # "-DCUDA_HAS_FP16=1",
            # "-D__CUDA_NO_HALF_OPERATORS__",
            # "-D__CUDA_NO_HALF_CONVERSIONS__",
            # "-D__CUDA_NO_HALF2_OPERATORS__",
        ]
        print("CUDA is available, building with CUDA support")
    else:
        print("CUDA is not available, building CPU-only version")

    sources = [os.path.join(extensions_dir, s) for s in sources]
    include_dirs = [extensions_dir]
    ext_modules = [
        extension(
            'DCNv3',
            sources,
            include_dirs=include_dirs,
            define_macros=define_macros,
            extra_compile_args=extra_compile_args,
        )
    ]
    return ext_modules


setup(
    name='DCNv3',
    version='1.1',
    author='InternImage',
    url='https://github.com/OpenGVLab/InternImage',
    description=
    'PyTorch Wrapper for CUDA Functions of DCNv3',
    packages=find_packages(exclude=(
        'configs',
        'tests',
    )),
    ext_modules=get_extensions(),
    cmdclass={'build_ext': torch.utils.cpp_extension.BuildExtension},
)