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setup.py
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setup.py
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import glob
import os
import sys
from setuptools import find_packages, setup
import torch
from torch.utils.cpp_extension import (CUDA_HOME, BuildExtension, CppExtension,
CUDAExtension)
def readme():
with open('README.md', encoding='utf-8') as f:
content = f.read()
return content
version_file = 'mmocr/version.py'
is_windows = sys.platform == 'win32'
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 parse_requirements(fname='requirements.txt', with_version=True):
"""Parse the package dependencies listed in a requirements file but strip
specific version information.
Args:
fname (str): Path to requirements file.
with_version (bool, default=False): If True, include version specs.
Returns:
info (list[str]): List of requirements items.
CommandLine:
python -c "import setup; print(setup.parse_requirements())"
"""
import sys
from os.path import exists
import re
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
def get_rroi_align_extensions():
extensions_dir = 'mmocr/models/utils/ops/rroi_align/csrc/csc'
main_file = glob.glob(os.path.join(extensions_dir, '*.cpp'))
source_cpu = glob.glob(os.path.join(extensions_dir, 'cpu', '*.cpp'))
source_cuda = glob.glob(os.path.join(extensions_dir, 'cuda', '*.cu'))
sources = main_file + source_cpu
extension = CppExtension
extra_compile_args = {'cxx': ['/utf-8']} if is_windows else {'cxx': []}
define_macros = []
if torch.cuda.is_available() and CUDA_HOME is not None:
extension = CUDAExtension
sources += source_cuda
define_macros += [('WITH_CUDA', None)]
extra_compile_args['nvcc'] = [
'-DCUDA_HAS_FP16=1',
'-D__CUDA_NO_HALF_OPERATORS__',
'-D__CUDA_NO_HALF_CONVERSIONS__',
'-D__CUDA_NO_HALF2_OPERATORS__',
]
print(sources)
include_dirs = [extensions_dir]
print('include_dirs', include_dirs, flush=True)
ext = extension(
name='mmocr.models.utils.ops.rroi_align.csrc',
sources=sources,
include_dirs=include_dirs,
define_macros=define_macros,
extra_compile_args=extra_compile_args,
)
return ext
if __name__ == '__main__':
library_dirs = [
lp for lp in os.environ.get('LD_LIBRARY_PATH', '').split(':')
if len(lp) > 1
]
cpp_root = 'mmocr/models/textdet/postprocess/'
setup(
name='mmocr',
version=get_version(),
description='OpenMMLab Text Detection, OCR, and NLP Toolbox',
long_description=readme(),
long_description_content_type='text/markdown',
maintainer='MMOCR Authors',
maintainer_email='[email protected]',
keywords='Text Detection, OCR, KIE, NLP',
packages=find_packages(exclude=('configs', 'tools', 'demo')),
url='https://github.com/open-mmlab/mmocr',
package_data={'mmocr.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',
'Programming Language :: Python :: 3.8',
],
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=[
CppExtension(
name='mmocr.models.textdet.postprocess.pan',
sources=[cpp_root + 'pan.cpp'],
extra_compile_args=(['/utf-8'] if is_windows else [])),
CppExtension(
name='mmocr.models.textdet.postprocess.pse',
sources=[cpp_root + 'pse.cpp'],
extra_compile_args=(['/utf-8'] if is_windows else [])),
get_rroi_align_extensions()
],
cmdclass={'build_ext': BuildExtension},
zip_safe=False)