mirror of
https://github.com/huggingface/peft.git
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106 lines
4.1 KiB
Python
106 lines
4.1 KiB
Python
# Copyright 2023 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from setuptools import find_packages, setup
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VERSION = "0.13.2"
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extras = {}
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extras["quality"] = [
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"black", # doc-builder has an implicit dependency on Black, see huggingface/doc-builder#434
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"hf-doc-builder",
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"ruff~=0.6.1",
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]
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extras["docs_specific"] = [
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"black", # doc-builder has an implicit dependency on Black, see huggingface/doc-builder#434
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"hf-doc-builder",
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]
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extras["dev"] = extras["quality"] + extras["docs_specific"]
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extras["test"] = extras["dev"] + [
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"pytest",
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"pytest-cov",
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"pytest-xdist",
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"parameterized",
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"datasets",
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"diffusers<0.21.0",
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"scipy",
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]
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setup(
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name="peft",
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version=VERSION,
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description="Parameter-Efficient Fine-Tuning (PEFT)",
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license_files=["LICENSE"],
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long_description=open("README.md", encoding="utf-8").read(),
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long_description_content_type="text/markdown",
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keywords="deep learning",
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license="Apache",
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author="The HuggingFace team",
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author_email="benjamin@huggingface.co",
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url="https://github.com/huggingface/peft",
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package_dir={"": "src"},
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packages=find_packages("src"),
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package_data={"peft": ["py.typed", "tuners/boft/fbd/fbd_cuda.cpp", "tuners/boft/fbd/fbd_cuda_kernel.cu"]},
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entry_points={},
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python_requires=">=3.8.0",
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install_requires=[
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"numpy>=1.17",
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"packaging>=20.0",
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"psutil",
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"pyyaml",
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"torch>=1.13.0",
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"transformers",
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"tqdm",
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"accelerate>=0.21.0",
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"safetensors",
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"huggingface_hub>=0.17.0",
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],
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extras_require=extras,
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classifiers=[
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"Development Status :: 5 - Production/Stable",
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"Intended Audience :: Developers",
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"Intended Audience :: Education",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: Apache Software License",
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"Operating System :: OS Independent",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.8",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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],
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)
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# Release checklist
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# 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"
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# 2. Check if there are any deprecations that need to be addressed for this release by searching for "# TODO" in the code
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# 3. Commit these changes with the message: "Release: VERSION", create a PR and merge it.
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# 4. Add a tag in git to mark the release: "git tag -a VERSION -m 'Adds tag VERSION for pypi' "
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# Push the tag to git:
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# git push --tags origin main
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# It is necessary to work on the original repository, not on a fork.
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# 5. Run the following commands in the top-level directory:
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# python setup.py bdist_wheel
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# python setup.py sdist
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# Ensure that you are on the clean and up-to-date main branch (git status --untracked-files=no should not list any
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# files and show the main branch)
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# 6. Upload the package to the pypi test server first:
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# twine upload dist/* -r pypitest
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# 7. Check that you can install it in a virtualenv by running:
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# pip install -i https://testpypi.python.org/pypi --extra-index-url https://pypi.org/simple peft
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# 8. Upload the final version to actual pypi:
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# twine upload dist/* -r pypi
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# 9. Add release notes to the tag on https://github.com/huggingface/peft/releases once everything is looking hunky-dory.
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# Check the notes here: https://docs.google.com/document/d/1k-sOIfykuKjWcOIALqjhFKz4amFEp-myeJUJEzNgjoU/edit?usp=sharing
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# 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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