74 lines
2.9 KiB
Python
74 lines
2.9 KiB
Python
"""
|
|
Simple check list from AllenNLP repo: https://github.com/allenai/allennlp/blob/master/setup.py
|
|
|
|
To create the package for pypi.
|
|
|
|
1. Change the version in __init__.py and setup.py.
|
|
|
|
2. Commit these changes with the message: "Release: VERSION"
|
|
|
|
3. Add a tag in git to mark the release: "git tag VERSION -m'Adds tag VERSION for pypi' "
|
|
Push the tag to git: git push --tags origin master
|
|
|
|
4. Build both the sources and the wheel. Do not change anything in setup.py between
|
|
creating the wheel and the source distribution (obviously).
|
|
|
|
For the wheel, run: "python setup.py bdist_wheel" in the top level allennlp directory.
|
|
(this will build a wheel for the python version you use to build it - make sure you use python 3.x).
|
|
|
|
For the sources, run: "python setup.py sdist"
|
|
You should now have a /dist directory with both .whl and .tar.gz source versions of allennlp.
|
|
|
|
5. Check that everything looks correct by uploading the package to the pypi test server:
|
|
|
|
twine upload dist/* -r pypitest
|
|
(pypi suggest using twine as other methods upload files via plaintext.)
|
|
|
|
Check that you can install it in a virtualenv by running:
|
|
pip install -i https://testpypi.python.org/pypi pytorch-transformers
|
|
|
|
6. Upload the final version to actual pypi:
|
|
twine upload dist/* -r pypi
|
|
|
|
7. Copy the release notes from RELEASE.md to the tag in github once everything is looking hunky-dory.
|
|
|
|
"""
|
|
from io import open
|
|
from setuptools import find_packages, setup
|
|
|
|
setup(
|
|
name="pytorch_transformers",
|
|
version="1.2.0",
|
|
author="Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Google AI Language Team Authors, Open AI team Authors",
|
|
author_email="thomas@huggingface.co",
|
|
description="Repository of pre-trained NLP Transformer models: BERT & RoBERTa, GPT & GPT-2, Transformer-XL, XLNet and XLM",
|
|
long_description=open("README.md", "r", encoding='utf-8').read(),
|
|
long_description_content_type="text/markdown",
|
|
keywords='NLP deep learning transformer pytorch BERT GPT GPT-2 google openai CMU',
|
|
license='Apache',
|
|
url="https://github.com/huggingface/pytorch-transformers",
|
|
packages=find_packages(exclude=["*.tests", "*.tests.*",
|
|
"tests.*", "tests"]),
|
|
install_requires=['torch>=1.0.0',
|
|
'numpy',
|
|
'boto3',
|
|
'requests',
|
|
'tqdm',
|
|
'regex',
|
|
'sentencepiece',
|
|
'sacremoses'],
|
|
entry_points={
|
|
'console_scripts': [
|
|
"pytorch_transformers=pytorch_transformers.__main__:main",
|
|
]
|
|
},
|
|
# python_requires='>=3.5.0',
|
|
tests_require=['pytest'],
|
|
classifiers=[
|
|
'Intended Audience :: Science/Research',
|
|
'License :: OSI Approved :: Apache Software License',
|
|
'Programming Language :: Python :: 3',
|
|
'Topic :: Scientific/Engineering :: Artificial Intelligence',
|
|
],
|
|
)
|