/
setup.py
executable file
·47 lines (41 loc) · 1.42 KB
/
setup.py
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from distutils.core import setup
import setuptools
with open('README.md') as readme_file:
#readme_file.readline()
readme = readme_file.read()
exec(open('torchfit/version.py').read())
setup(
name = 'torchfit',
packages = setuptools.find_packages(),
version = __version__,
license='MIT',
description = 'TorchFit is a simple, easy-to-use, and minimalistic training-helper for PyTorch',
long_description = readme,
long_description_content_type = 'text/markdown',
author = 'Arun S. Maiya',
author_email = 'arun@maiya.net',
url = 'https://github.com/amaiya/torchfit',
keywords = ['pytorch', 'deep learning', 'machine learning'],
install_requires=[
'numpy',
'matplotlib >= 3.0.0',
'torch-lr-finder',
'ipython',
],
classifiers=[ # Optional
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 4 - Beta',
# Indicate who your project is intended for
'Intended Audience :: Developers',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
# Pick your license as you wish
'License :: OSI Approved :: MIT License',
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
],
)