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setup.py
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setup.py
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import os
import subprocess
from setuptools import find_packages, setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
def get_git_commit_number():
if not os.path.exists('.git'):
return '0000000'
cmd_out = subprocess.run(['git', 'rev-parse', 'HEAD'], stdout=subprocess.PIPE)
git_commit_number = cmd_out.stdout.decode('utf-8')[:7]
return git_commit_number
def make_cuda_ext(name, module, sources):
cuda_ext = CUDAExtension(
name='%s.%s' % (module, name),
sources=[os.path.join(*module.split('.'), src) for src in sources]
)
return cuda_ext
def write_version_to_file(version, target_file):
with open(target_file, 'w') as f:
print('__version__ = "%s"' % version, file=f)
if __name__ == '__main__':
version = '0.1.0'
write_version_to_file(version, 'prnet/version.py')
setup(
name='prnet',
version=version,
description='OpenPR is a general codebase for place recognition',
install_requires=[
'numpy',
],
author='Xuecheng Xu',
author_email='xuechengxu@zju.edu.cn',
license='Apache License 2.0',
packages=find_packages(exclude=['tools', 'data', 'output']),
cmdclass={
'build_ext': BuildExtension,
},
ext_modules=[
make_cuda_ext(
name='pointnet2_stack_cuda',
module='prnet.ops.pointnet2.pointnet2_stack',
sources=[
'src/pointnet2_api.cpp',
'src/ball_query.cpp',
'src/ball_query_gpu.cu',
'src/group_points.cpp',
'src/group_points_gpu.cu',
'src/sampling.cpp',
'src/sampling_gpu.cu',
'src/interpolate.cpp',
'src/interpolate_gpu.cu',
'src/voxel_query.cpp',
'src/voxel_query_gpu.cu',
'src/vector_pool.cpp',
'src/vector_pool_gpu.cu'
],
),
make_cuda_ext(
name='pointnet2_batch_cuda',
module='prnet.ops.pointnet2.pointnet2_batch',
sources=[
'src/pointnet2_api.cpp',
'src/ball_query.cpp',
'src/ball_query_gpu.cu',
'src/group_points.cpp',
'src/group_points_gpu.cu',
'src/interpolate.cpp',
'src/interpolate_gpu.cu',
'src/sampling.cpp',
'src/sampling_gpu.cu',
],
),
],
)