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setup.py
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setup.py
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#!/usr/bin/env python
import os
import subprocess
import time
import torch
from setuptools import find_packages, setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
def readme():
with open('README.md', encoding='utf-8') as f:
content = f.read()
return content
MAJOR = 0
MINOR = 2
PATCH = 0
SUFFIX = ''
if PATCH != '':
SHORT_VERSION = '{}.{}.{}{}'.format(MAJOR, MINOR, PATCH, SUFFIX)
else:
SHORT_VERSION = '{}.{}{}'.format(MAJOR, MINOR, SUFFIX)
version_file = 'mmsr/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 mmsr.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 = '{}'
"""
sha = get_hash()
VERSION = SHORT_VERSION + '+' + sha
with open(version_file, 'w') as f:
f.write(content.format(time.asctime(), VERSION, SHORT_VERSION))
def get_version():
with open(version_file, 'r') as f:
exec(compile(f.read(), version_file, 'exec'))
return locals()['__version__']
def make_cuda_ext(name, module, sources):
define_macros = []
if torch.cuda.is_available() or os.getenv('FORCE_CUDA', '0') == '1':
define_macros += [('WITH_CUDA', None)]
else:
raise EnvironmentError('CUDA is required to compile!')
return CUDAExtension(
name='{}.{}'.format(module, name),
sources=[os.path.join(*module.split('.'), p) for p in sources],
define_macros=define_macros,
extra_compile_args={
'cxx': [],
'nvcc': [
'-D__CUDA_NO_HALF_OPERATORS__',
'-D__CUDA_NO_HALF_CONVERSIONS__',
'-D__CUDA_NO_HALF2_OPERATORS__',
]
})
def get_requirements(filename='requirements.txt'):
here = os.path.dirname(os.path.realpath(__file__))
with open(os.path.join(here, filename), 'r') as f:
requires = [line.replace('\n', '') for line in f.readlines()]
return requires
if __name__ == '__main__':
write_version_py()
setup(
name='mmsr',
version=get_version(),
description='Open MMLab Image and Video Super-Resolution Toolbox',
long_description=readme(),
author='OpenMMLab',
author_email='[email protected]',
keywords='computer vision, super resolution',
url='https://github.com/open-mmlab/mmsr',
packages=find_packages(
exclude=('options', 'datasets', 'experiments', 'results',
'tb_logger')),
classifiers=[
'Development Status :: 4 - Beta',
'License :: OSI Approved :: Apache Software License',
'Operating System :: OS Independent',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
],
license='Apache License 2.0',
setup_requires=['pytest-runner', 'cython', 'numpy'],
tests_require=['pytest', 'xdoctest'],
install_requires=get_requirements(),
ext_modules=[
make_cuda_ext(
name='deform_conv_cuda',
module='mmsr.models.archs.dcn',
sources=[
'src/deform_conv_cuda.cpp',
'src/deform_conv_cuda_kernel.cu'
]),
],
cmdclass={'build_ext': BuildExtension},
zip_safe=False)