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Guillaume HEUSCH authoredGuillaume HEUSCH authored
setup.py 4.06 KiB
#!/usr/bin/env python
# vim: set fileencoding=utf-8 :
# Mon 16 Apr 08:18:08 2012 CEST
from setuptools import setup, dist
dist.Distribution(dict(setup_requires=['bob.extension']))
from bob.extension.utils import load_requirements, find_packages
install_requires = load_requirements()
# The only thing we do in this file is to call the setup() function with all
# parameters that define our package.
setup(
# This is the basic information about your project. Modify all this
# information before releasing code publicly.
name = 'bob.learn.pytorch',
version = open("version.txt").read().rstrip(),
description = 'Bob bindings for PyTorch',
url = 'https://gitlab.idiap.ch/bob/bob.learn.pytorch',
license = 'BSD',
author = 'Guillaume Heusch',
author_email = 'guillaume.heusch@idiap.ch',
keywords = 'pytorch',
# If you have a better, long description of your package, place it on the
# 'doc' directory and then hook it here
long_description = open('README.rst').read(),
# This line is required for any distutils based packaging.
packages = find_packages(),
include_package_data = True,
zip_safe=False,
# This line defines which packages should be installed when you "install"
# this package. All packages that are mentioned here, but are not installed
# on the current system will be installed locally and only visible to the
# scripts of this package. Don't worry - You won't need administrative
# privileges when using buildout.
install_requires = install_requires,
# Your project should be called something like 'bob.<foo>' or
# 'bob.<foo>.<bar>'. To implement this correctly and still get all your
# packages to be imported w/o problems, you need to implement namespaces
# on the various levels of the package and declare them here. See more
# about this here:
# http://peak.telecommunity.com/DevCenter/setuptools#namespace-packages
#
# Our database packages are good examples of namespace implementations
# using several layers. You can check them out here:
# https://www.idiap.ch/software/bob/packages
# This entry defines which scripts you will have inside the 'bin' directory
# once you install the package (or run 'bin/buildout'). The order of each
# entry under 'console_scripts' is like this:
# script-name-at-bin-directory = module.at.your.library:function
#
# The module.at.your.library is the python file within your library, using
# the python syntax for directories (i.e., a '.' instead of '/' or '\').
# This syntax also omits the '.py' extension of the filename. So, a file
# installed under 'example/foo.py' that contains a function which
# implements the 'main()' function of particular script you want to have
# should be referred as 'example.foo:main'.
#
# In this simple example we will create a single program that will print
# the version of bob.
entry_points = {
# scripts should be declared using this entry:
'console_scripts' : [
'train_cnn.py = bob.learn.pytorch.scripts.train_cnn:main',
'train_mccnn.py = bob.learn.pytorch.scripts.train_mccnn:main',
'train_fasnet.py = bob.learn.pytorch.scripts.train_fasnet:main',
'train_dcgan.py = bob.learn.pytorch.scripts.train_dcgan:main',
'train_conditionalgan.py = bob.learn.pytorch.scripts.train_conditionalgan:main',
'train_network.py = bob.learn.pytorch.scripts.train_network:main',
'test_data.py = bob.learn.pytorch.scripts.test_data:main',
],
},
# Classifiers are important if you plan to distribute this package through
# PyPI. You can find the complete list of classifiers that are valid and
# useful here (http://pypi.python.org/pypi?%3Aaction=list_classifiers).
classifiers = [
'Framework :: Bob',
'Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'License :: OSI Approved :: BSD License',
'Natural Language :: English',
'Programming Language :: Python',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
],
)