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setup.py
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import glob
from setuptools import setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
def make_cuda_ext(name, sources,includes):
return CUDAExtension(
name='{}'.format(name),
sources=[p for p in sources],
include_dirs=[i for i in includes],
extra_compile_args={
'cxx': [],
'nvcc': [
'-D__CUDA_NO_HALF_OPERATORS__',
'-D__CUDA_NO_HALF_CONVERSIONS__',
'-D__CUDA_NO_HALF2_OPERATORS__',
]})
#-D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -D_GLIBCXX_USE_CXX11_ABI=1
sources=[]
sources.extend(glob.glob('src/*.cu'))
sources.extend(glob.glob('src/*.cpp'))
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name='modulated_deform_conv',
version='1.0.2',
author='qiaoxin',
author_email='[email protected]',
url='https://www.github.com',
description="cuda implementation of deformable conv2d, modulated deformable conv2d,"
"deformable conv3d, modulated deformable conv3d",
long_description=long_description,
long_description_content_type="text/markdown",
ext_modules=[
make_cuda_ext(name='MDCONV_CUDA',
sources=sources,
includes=['src'])
],
py_modules=['modulated_deform_conv'],
classifiers=(
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 3 - Alpha',
'Operating System :: POSIX :: Linux',
# Indicate who your project is intended for
'Intended Audience :: Developers',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: MIT License',
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
),
install_requires=['torch>=1.3'],
keywords=["pytorch", "cuda", "deform"],
cmdclass={'build_ext': BuildExtension}, zip_safe=False)