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import os |
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import glob |
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import torch |
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from torch.utils.cpp_extension import CUDA_HOME |
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from torch.utils.cpp_extension import CppExtension |
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from torch.utils.cpp_extension import CUDAExtension |
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from setuptools import find_packages |
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from setuptools import setup |
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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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"-DCUDA_HAS_FP16=1", |
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"-D__CUDA_NO_HALF_OPERATORS__", |
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"-D__CUDA_NO_HALF_CONVERSIONS__", |
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"-D__CUDA_NO_HALF2_OPERATORS__", |
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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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"MultiScaleDeformableAttention", |
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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="MultiScaleDeformableAttention", |
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version="1.0", |
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author="Weijie Su", |
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url="https://github.com/fundamentalvision/Deformable-DETR", |
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description="PyTorch Wrapper for CUDA Functions of Multi-Scale Deformable Attention", |
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packages=find_packages(exclude=("configs", "tests",)), |
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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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