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""" |
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Simple check list from AllenNLP repo: https://github.com/allenai/allennlp/blob/master/setup.py |
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To create the package for pypi. |
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1. Change the version in __init__.py and setup.py. |
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2. Commit these changes with the message: "Release: VERSION" |
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3. Add a tag in git to mark the release: "git tag VERSION -m'Adds tag VERSION for pypi' " |
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Push the tag to git: git push --tags origin master |
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4. Build both the sources and the wheel. Do not change anything in setup.py between |
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creating the wheel and the source distribution (obviously). |
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For the wheel, run: "python setup.py bdist_wheel" in the top level allennlp directory. |
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(this will build a wheel for the python version you use to build it - make sure you use python 3.x). |
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For the sources, run: "python setup.py sdist" |
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You should now have a /dist directory with both .whl and .tar.gz source versions of allennlp. |
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5. Check that everything looks correct by uploading the package to the pypi test server: |
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twine upload dist/* -r pypitest |
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(pypi suggest using twine as other methods upload files via plaintext.) |
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Check that you can install it in a virtualenv by running: |
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pip install -i https://testpypi.python.org/pypi allennlp |
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6. Upload the final version to actual pypi: |
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twine upload dist/* -r pypi |
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7. Copy the release notes from RELEASE.md to the tag in github once everything is looking hunky-dory. |
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""" |
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from io import open |
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from setuptools import find_packages, setup |
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setup( |
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name="pytorch_pretrained_biggan", |
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version="0.1.0", |
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author="Thomas Wolf", |
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author_email="[email protected]", |
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description="PyTorch version of DeepMind's BigGAN model with pre-trained models", |
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long_description=open("README.md", "r", encoding='utf-8').read(), |
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long_description_content_type="text/markdown", |
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keywords='BIGGAN GAN deep learning google deepmind', |
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license='Apache', |
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url="https://github.com/huggingface/pytorch-pretrained-BigGAN", |
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packages=find_packages(exclude=["*.tests", "*.tests.*", |
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"tests.*", "tests"]), |
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install_requires=['torch>=0.4.1', |
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'numpy', |
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'boto3', |
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'requests', |
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'tqdm'], |
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tests_require=['pytest'], |
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entry_points={ |
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'console_scripts': [ |
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"pytorch_pretrained_biggan=pytorch_pretrained_biggan.convert_tf_to_pytorch:main", |
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] |
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}, |
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classifiers=[ |
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'Intended Audience :: Science/Research', |
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'License :: OSI Approved :: Apache Software License', |
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'Programming Language :: Python :: 3', |
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'Topic :: Scientific/Engineering :: Artificial Intelligence', |
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], |
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) |
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