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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
VERSION = "0.11.2.dev0"
extras = {}
extras["quality"] = [
"black", # doc-builder has an implicit dependency on Black, see huggingface/doc-builder#434
"hf-doc-builder",
"ruff~=0.2.1",
]
extras["docs_specific"] = [
"black", # doc-builder has an implicit dependency on Black, see huggingface/doc-builder#434
"hf-doc-builder",
]
extras["dev"] = extras["quality"] + extras["docs_specific"]
extras["test"] = extras["dev"] + [
"pytest",
"pytest-cov",
"pytest-xdist",
"parameterized",
"datasets",
"diffusers<0.21.0",
"scipy",
]
setup(
name="peft",
version=VERSION,
description="Parameter-Efficient Fine-Tuning (PEFT)",
license_files=["LICENSE"],
long_description=open("README.md", encoding="utf-8").read(),
long_description_content_type="text/markdown",
keywords="deep learning",
license="Apache",
author="The HuggingFace team",
author_email="[email protected]",
url="https://github.com/huggingface/peft",
package_dir={"": "src"},
packages=find_packages("src"),
package_data={"peft": ["py.typed", "tuners/boft/fbd/fbd_cuda.cpp", "tuners/boft/fbd/fbd_cuda_kernel.cu"]},
entry_points={},
python_requires=">=3.8.0",
install_requires=[
"numpy>=1.17",
"packaging>=20.0",
"psutil",
"pyyaml",
"torch>=1.13.0",
"transformers",
"tqdm",
"accelerate>=0.21.0",
"safetensors",
"huggingface_hub>=0.17.0",
],
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 :: 3.8",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
)
# Release checklist
# 1. Change the version in __init__.py and setup.py to the release version, e.g. from "0.6.0.dev0" to "0.6.0"
# 2. Check if there are any deprecations that need to be addressed for this release by searching for "# TODO" in the code
# 3. Commit these changes with the message: "Release: VERSION", create a PR and merge it.
# 4. Add a tag in git to mark the release: "git tag -a VERSION -m 'Adds tag VERSION for pypi' "
# Push the tag to git:
# git push --tags origin main
# It is necessary to work on the original repository, not on a fork.
# 5. Run the following commands in the top-level directory:
# python setup.py bdist_wheel
# python setup.py sdist
# Ensure that you are on the clean and up-to-date main branch (git status --untracked-files=no should not list any
# files and show the main branch)
# 6. Upload the package to the pypi test server first:
# twine upload dist/* -r pypitest
# 7. Check that you can install it in a virtualenv by running:
# pip install -i https://testpypi.python.org/pypi --extra-index-url https://pypi.org/simple peft
# 8. Upload the final version to actual pypi:
# twine upload dist/* -r pypi
# 9. Add release notes to the tag on https://github.com/huggingface/peft/releases once everything is looking hunky-dory.
# Check the notes here: https://docs.google.com/document/d/1k-sOIfykuKjWcOIALqjhFKz4amFEp-myeJUJEzNgjoU/edit?usp=sharing
# 10. Update the version in __init__.py, setup.py to the bumped minor version + ".dev0" (e.g. from "0.6.0" to "0.7.0.dev0")
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