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setup.py
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setup.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""The setup script."""
from setuptools import setup, find_packages
import runpy
__version__ = runpy.run_path('inferno/version.py')['__version__']
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
requirements = [
# TODO: put package requirements here
"pip>=8.1.2",
"torch>=0.1.12",
"dill",
"pyyaml",
"scipy>=0.13.0",
"h5py",
"numpy>=1.8",
"scikit-image",
"torchvision",
"tqdm"
]
setup_requirements = [
'pytest-runner'
]
test_requirements = [
'pytest', 'unittest'
]
dependency_links = [
'http://download.pytorch.org/whl/cu75/torch-0.2.0.post1-cp35-cp35m-manylinux1_x86_64.whl#egg=torch-0.2.0'
]
setup(
name='inferno-pytorch',
version=__version__,
description="Inferno is a little library providing utilities and convenience functions/classes around PyTorch.",
long_description=readme + '\n\n' + history,
author="Nasim Rahaman",
author_email='[email protected]',
url='https://github.com/inferno-pytorch/inferno',
packages=find_packages(where='.', exclude=["*.tests", "*.tests.*",
"tests.*", "tests",
"__pycache__", "*.pyc"]),
dependency_links=dependency_links,
include_package_data=True,
install_requires=requirements,
license="Apache Software License 2.0",
zip_safe=False,
keywords='inferno pytorch torch deep learning cnn deep-pyromania',
classifiers=[
# How mature is this project? Common values are\
# 2 - Pre-Alpha',
# 3 - Alpha,
# 4 - Beta,
# 5 - Production/Stable
'Development Status :: 2 - Pre-Alpha',
# Indicate who your project is intended for
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Natural Language :: English',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6'
],
test_suite='test',
tests_require=test_requirements,
setup_requires=setup_requirements,
)