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# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from setuptools import find_packages, setup
extras = {}
extras["quality"] = ["black ~= 22.0", "ruff>=0.0.241"]
extras["docs_specific"] = ["hf-doc-builder"]
extras["dev"] = extras["quality"] + extras["docs_specific"]
extras["test"] = extras["dev"] + ["pytest", "pytest-xdist", "parameterized", "datasets"]
setup(
name="peft",
version="0.3.0.dev0",
description="Parameter-Efficient Fine-Tuning (PEFT)",
license_files=["LICENSE"],
long_description=open("README.md", "r", encoding="utf-8").read(),
long_description_content_type="text/markdown",
keywords="deep learning",
license="Apache",
author="The HuggingFace team",
author_email="sourab@huggingface.co",
url="https://github.com/huggingface/peft",
package_dir={"": "src"},
packages=find_packages("src"),
entry_points={},
python_requires=">=3.7.0",
install_requires=[
"numpy>=1.17",
"packaging>=20.0",
"psutil",
"pyyaml",
"torch>=1.13.0",
"transformers",
"accelerate",
],
extras_require=extras,
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
)
# Release checklist
# 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 main
# 4. Run the following commands in the top-level directory:
# python setup.py bdist_wheel
# python setup.py sdist
# 5. Upload the package to the pypi test server first:
# twine upload dist/* -r pypitest
# twine upload dist/* -r pypitest --repository-url=https://test.pypi.org/legacy/
# 6. Check that you can install it in a virtualenv by running:
# pip install -i https://testpypi.python.org/pypi peft
# 7. Upload the final version to actual pypi:
# twine upload dist/* -r pypi
# 8. Add release notes to the tag in github once everything is looking hunky-dory.
# 9. Update the version in __init__.py, setup.py to the new version "-dev" and push to master
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