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setup.py
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setup.py
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from setuptools import find_packages, setup
import os
import subprocess
import time
import torch
from torch.utils.cpp_extension import (BuildExtension, CppExtension,
CUDAExtension)
def readme():
with open('README.md', encoding='utf-8') as f:
content = f.read()
return content
version_file = 'mmdet3d/version.py'
def get_git_hash():
def _minimal_ext_cmd(cmd):
# construct minimal environment
env = {}
for k in ['SYSTEMROOT', 'PATH', 'HOME']:
v = os.environ.get(k)
if v is not None:
env[k] = v
# LANGUAGE is used on win32
env['LANGUAGE'] = 'C'
env['LANG'] = 'C'
env['LC_ALL'] = 'C'
out = subprocess.Popen(
cmd, stdout=subprocess.PIPE, env=env).communicate()[0]
return out
try:
out = _minimal_ext_cmd(['git', 'rev-parse', 'HEAD'])
sha = out.strip().decode('ascii')
except OSError:
sha = 'unknown'
return sha
def get_hash():
if os.path.exists('.git'):
sha = get_git_hash()[:7]
elif os.path.exists(version_file):
try:
from mmdet3d.version import __version__
sha = __version__.split('+')[-1]
except ImportError:
raise ImportError('Unable to get git version')
else:
sha = 'unknown'
return sha
def write_version_py():
content = """# GENERATED VERSION FILE
# TIME: {}
__version__ = '{}'
short_version = '{}'
version_info = ({})
"""
sha = get_hash()
with open('mmdet3d/VERSION', 'r') as f:
SHORT_VERSION = f.read().strip()
VERSION_INFO = ', '.join(
[x if x.isdigit() else f'"{x}"' for x in SHORT_VERSION.split('.')])
VERSION = SHORT_VERSION + '+' + sha
version_file_str = content.format(time.asctime(), VERSION, SHORT_VERSION,
VERSION_INFO)
with open(version_file, 'w') as f:
f.write(version_file_str)
def get_version():
with open(version_file, 'r') as f:
exec(compile(f.read(), version_file, 'exec'))
import sys
# return short version for sdist
if 'sdist' in sys.argv or 'bdist_wheel' in sys.argv:
return locals()['short_version']
else:
return locals()['__version__']
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)
def parse_requirements(fname='requirements.txt', with_version=True):
"""Parse the package dependencies listed in a requirements file but strips
specific versioning information.
Args:
fname (str): path to requirements file
with_version (bool, default=False): if True include version specs
Returns:
list[str]: list of requirements items
CommandLine:
python -c "import setup; print(setup.parse_requirements())"
"""
import re
import sys
from os.path import exists
require_fpath = fname
def parse_line(line):
"""Parse information from a line in a requirements text file."""
if line.startswith('-r '):
# Allow specifying requirements in other files
target = line.split(' ')[1]
for info in parse_require_file(target):
yield info
else:
info = {'line': line}
if line.startswith('-e '):
info['package'] = line.split('#egg=')[1]
else:
# Remove versioning from the package
pat = '(' + '|'.join(['>=', '==', '>']) + ')'
parts = re.split(pat, line, maxsplit=1)
parts = [p.strip() for p in parts]
info['package'] = parts[0]
if len(parts) > 1:
op, rest = parts[1:]
if ';' in rest:
# Handle platform specific dependencies
# http://setuptools.readthedocs.io/en/latest/setuptools.html#declaring-platform-specific-dependencies
version, platform_deps = map(str.strip,
rest.split(';'))
info['platform_deps'] = platform_deps
else:
version = rest # NOQA
info['version'] = (op, version)
yield info
def parse_require_file(fpath):
with open(fpath, 'r') as f:
for line in f.readlines():
line = line.strip()
if line and not line.startswith('#'):
for info in parse_line(line):
yield info
def gen_packages_items():
if exists(require_fpath):
for info in parse_require_file(require_fpath):
parts = [info['package']]
if with_version and 'version' in info:
parts.extend(info['version'])
if not sys.version.startswith('3.4'):
# apparently package_deps are broken in 3.4
platform_deps = info.get('platform_deps')
if platform_deps is not None:
parts.append(';' + platform_deps)
item = ''.join(parts)
yield item
packages = list(gen_packages_items())
return packages
if __name__ == '__main__':
write_version_py()
setup(
name='mmdet3d',
version=get_version(),
description=("OpenMMLab's next-generation platform"
'for general 3D object detection.'),
long_description=readme(),
long_description_content_type='text/markdown',
author='OpenMMLab',
author_email='[email protected]',
keywords='computer vision, 3D object detection',
url='https://github.com/open-mmlab/mmdetection3d',
packages=find_packages(exclude=('configs', 'tools', 'demo')),
package_data={'mmdet3d.ops': ['*/*.so']},
classifiers=[
'Development Status :: 4 - Beta',
'License :: OSI Approved :: Apache Software License',
'Operating System :: OS Independent',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
],
license='Apache License 2.0',
setup_requires=parse_requirements('requirements/build.txt'),
tests_require=parse_requirements('requirements/tests.txt'),
install_requires=parse_requirements('requirements/runtime.txt'),
extras_require={
'all': parse_requirements('requirements.txt'),
'tests': parse_requirements('requirements/tests.txt'),
'build': parse_requirements('requirements/build.txt'),
'optional': parse_requirements('requirements/optional.txt'),
},
ext_modules=[
make_cuda_ext(
name='compiling_info',
module='mmdet3d.ops.utils',
sources=['src/compiling_info.cpp']),
make_cuda_ext(
name='sparse_conv_ext',
module='mmdet3d.ops.spconv',
extra_include_path=[
# PyTorch 1.5 uses ninjia, which requires absolute path
# of included files, relative path will cause failure.
os.path.abspath(
os.path.join(*'mmdet3d.ops.spconv'.split('.'),
'include/'))
],
sources=[
'src/all.cc',
'src/reordering.cc',
'src/reordering_cuda.cu',
'src/indice.cc',
'src/indice_cuda.cu',
'src/maxpool.cc',
'src/maxpool_cuda.cu',
],
extra_args=['-w', '-std=c++14']),
make_cuda_ext(
name='iou3d_cuda',
module='mmdet3d.ops.iou3d',
sources=[
'src/iou3d.cpp',
'src/iou3d_kernel.cu',
]),
make_cuda_ext(
name='voxel_layer',
module='mmdet3d.ops.voxel',
sources=[
'src/voxelization.cpp',
'src/scatter_points_cpu.cpp',
'src/scatter_points_cuda.cu',
'src/voxelization_cpu.cpp',
'src/voxelization_cuda.cu',
]),
make_cuda_ext(
name='roiaware_pool3d_ext',
module='mmdet3d.ops.roiaware_pool3d',
sources=[
'src/roiaware_pool3d.cpp',
'src/points_in_boxes_cpu.cpp',
],
sources_cuda=[
'src/roiaware_pool3d_kernel.cu',
'src/points_in_boxes_cuda.cu',
]),
make_cuda_ext(
name='ball_query_ext',
module='mmdet3d.ops.ball_query',
sources=['src/ball_query.cpp'],
sources_cuda=['src/ball_query_cuda.cu']),
make_cuda_ext(
name='group_points_ext',
module='mmdet3d.ops.group_points',
sources=['src/group_points.cpp'],
sources_cuda=['src/group_points_cuda.cu']),
make_cuda_ext(
name='interpolate_ext',
module='mmdet3d.ops.interpolate',
sources=['src/interpolate.cpp'],
sources_cuda=[
'src/three_interpolate_cuda.cu', 'src/three_nn_cuda.cu'
]),
make_cuda_ext(
name='furthest_point_sample_ext',
module='mmdet3d.ops.furthest_point_sample',
sources=['src/furthest_point_sample.cpp'],
sources_cuda=['src/furthest_point_sample_cuda.cu']),
make_cuda_ext(
name='gather_points_ext',
module='mmdet3d.ops.gather_points',
sources=['src/gather_points.cpp'],
sources_cuda=['src/gather_points_cuda.cu'])
],
cmdclass={'build_ext': BuildExtension},
zip_safe=False)