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import glob |
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import os |
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import torch |
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from setuptools import find_packages, setup |
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from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension |
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requirements = ['torch', 'torchvision'] |
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def get_extensions(): |
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this_dir = os.path.dirname(os.path.abspath(__file__)) |
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extensions_dir = os.path.join(this_dir, 'src') |
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main_file = glob.glob(os.path.join(extensions_dir, '*.cpp')) |
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source_cpu = glob.glob(os.path.join(extensions_dir, 'cpu', '*.cpp')) |
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source_cuda = glob.glob(os.path.join(extensions_dir, 'cuda', '*.cu')) |
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sources = main_file + source_cpu |
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extension = CppExtension |
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extra_compile_args = {'cxx': []} |
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define_macros = [] |
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if torch.cuda.is_available() and CUDA_HOME is not None: |
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extension = CUDAExtension |
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sources += source_cuda |
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define_macros += [('WITH_CUDA', None)] |
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extra_compile_args['nvcc'] = [ |
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] |
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else: |
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raise NotImplementedError('Cuda is not availabel') |
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sources = [os.path.join(extensions_dir, s) for s in sources] |
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include_dirs = [extensions_dir] |
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ext_modules = [ |
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extension( |
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'DCNv3', |
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sources, |
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include_dirs=include_dirs, |
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define_macros=define_macros, |
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extra_compile_args=extra_compile_args, |
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) |
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] |
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return ext_modules |
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setup( |
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name='DCNv3', |
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version='1.0', |
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author='InternImage', |
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url='https://github.com/OpenGVLab/InternImage', |
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description= |
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'PyTorch Wrapper for CUDA Functions of DCNv3', |
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packages=find_packages(exclude=( |
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'configs', |
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'tests', |
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)), |
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ext_modules=get_extensions(), |
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cmdclass={'build_ext': torch.utils.cpp_extension.BuildExtension}, |
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) |
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