76 lines
2.1 KiB
Python
76 lines
2.1 KiB
Python
# --------------------------------------------------------
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# DCNv4
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# Copyright (c) 2024 OpenGVLab
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# Licensed under The MIT License [see LICENSE for details]
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# --------------------------------------------------------
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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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"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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