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setup.py
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setup.py
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import os
import torch
from setuptools import find_packages, setup
from torch.utils.cpp_extension import (BuildExtension, CppExtension,
CUDAExtension)
with open('README.md', 'r') as fh:
long_description = fh.read()
def make_cuda_ext(name,
module,
sources,
sources_cuda=[],
extra_args=[],
extra_include_path=[]):
define_macros = []
extra_compile_args = {'cxx': [] + extra_args}
if torch.cuda.is_available() or os.getenv('FORCE_CUDA', '0') == '1':
define_macros += [('WITH_CUDA', None)]
extension = CUDAExtension
extra_compile_args['nvcc'] = extra_args + [
'-D__CUDA_NO_HALF_OPERATORS__',
'-D__CUDA_NO_HALF_CONVERSIONS__',
'-D__CUDA_NO_HALF2_OPERATORS__',
]
sources += sources_cuda
else:
print('Compiling {} without CUDA'.format(name))
extension = CppExtension
# raise EnvironmentError('CUDA is required to compile MMDetection!')
return extension(
name='{}.{}'.format(module, name),
sources=[os.path.join(*module.split('.'), p) for p in sources],
include_dirs=extra_include_path,
define_macros=define_macros,
extra_compile_args=extra_compile_args,
)
setup(
name='BEVDepth',
version='0.0.1',
author='Megvii',
author_email='[email protected]',
description='Code for BEVDepth',
long_description=long_description,
long_description_content_type='text/markdown',
url=None,
packages=find_packages(),
classifiers=[
'Programming Language :: Python :: 3',
'Operating System :: OS Independent',
],
install_requires=[],
ext_modules=[
make_cuda_ext(
name='voxel_pooling_train_ext',
module='bevdepth.ops.voxel_pooling_train',
sources=['src/voxel_pooling_train_forward.cpp'],
sources_cuda=['src/voxel_pooling_train_forward_cuda.cu'],
),
make_cuda_ext(
name='voxel_pooling_inference_ext',
module='bevdepth.ops.voxel_pooling_inference',
sources=['src/voxel_pooling_inference_forward.cpp'],
sources_cuda=['src/voxel_pooling_inference_forward_cuda.cu'],
),
],
cmdclass={'build_ext': BuildExtension},
)