setup.py
#!/usr/bin/env python
import imp
import os
import pkg_resources
import sys
from setuptools import setup
if sys.version_info[:3] == (3, 5, 0):
if not int(os.getenv('CHAINER_PYTHON_350_FORCE', '0')):
msg = """
Chainer does not work with Python 3.5.0.
We strongly recommend to use another version of Python.
If you want to use Chainer with Python 3.5.0 at your own risk,
set CHAINER_PYTHON_350_FORCE environment variable to 1."""
print(msg)
sys.exit(1)
requirements = {
'install': [
'filelock',
'numpy>=1.9.0',
'protobuf>=3.0.0',
'six>=1.9.0',
],
'cuda': [
'cupy<2.4',
],
'stylecheck': [
'hacking',
'autopep8',
],
'test': [
'pytest',
'mock',
],
'doctest': [
'matplotlib',
'theano',
],
'docs': [
'sphinx_rtd_theme',
],
'travis': [
'-r stylecheck',
'-r test',
'pytest-timeout',
'pytest-cov',
'theano',
'h5py',
'pillow',
],
'appveyor': [
'-r stylecheck',
'-r test',
'pytest-timeout',
'pytest-cov',
],
}
def reduce_requirements(key):
# Resolve recursive requirements notation (-r)
reqs = requirements[key]
resolved_reqs = []
for req in reqs:
if req.startswith('-r'):
depend_key = req[2:].lstrip()
reduce_requirements(depend_key)
resolved_reqs += requirements[depend_key]
else:
resolved_reqs.append(req)
requirements[key] = resolved_reqs
for k in requirements.keys():
reduce_requirements(k)
extras_require = {k: v for k, v in requirements.items() if k != 'install'}
setup_requires = []
install_requires = requirements['install']
cupy_pkg = None
try:
cupy_pkg = pkg_resources.get_distribution('cupy')
except pkg_resources.DistributionNotFound:
pass
if cupy_pkg is not None:
install_requires.append(requirements['cuda'])
print('Use %s' % requirements['cuda'])
here = os.path.abspath(os.path.dirname(__file__))
__version__ = imp.load_source(
'_version', os.path.join(here, 'chainer', '_version.py')).__version__
setup(
name='chainer',
version=__version__,
description='A flexible framework of neural networks',
author='Seiya Tokui',
author_email='tokui@preferred.jp',
url='https://chainer.org/',
license='MIT License',
packages=['chainer',
'chainer.backends',
'chainer.dataset',
'chainer.datasets',
'chainer.functions',
'chainer.functions.activation',
'chainer.functions.array',
'chainer.functions.connection',
'chainer.functions.evaluation',
'chainer.functions.loss',
'chainer.functions.math',
'chainer.functions.noise',
'chainer.functions.normalization',
'chainer.functions.pooling',
'chainer.functions.theano',
'chainer.functions.util',
'chainer.function_hooks',
'chainer.iterators',
'chainer.initializers',
'chainer.links',
'chainer.links.activation',
'chainer.links.caffe',
'chainer.links.caffe.protobuf3',
'chainer.links.connection',
'chainer.links.loss',
'chainer.links.model',
'chainer.links.model.vision',
'chainer.links.normalization',
'chainer.links.theano',
'chainer.optimizers',
'chainer.serializers',
'chainer.testing',
'chainer.training',
'chainer.training.extensions',
'chainer.training.triggers',
'chainer.training.updaters',
'chainer.utils'],
zip_safe=False,
setup_requires=setup_requires,
install_requires=install_requires,
tests_require=requirements['test'],
extras_require=extras_require,
)