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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_cuda = glob.glob(os.path.join(extensions_dir, "*.cu"))
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sources = main_file
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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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"GeometricKernelAttention",
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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="GeometricKernelAttention",
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version="1.0",
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author="Tianheng Cheng",
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url="https://github.com/hustvl",
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description="PyTorch Wrapper for CUDA Functions of Multi-Scale Geometric Kernel 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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