2022-02-14 21:19:03 +08:00
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import setuptools
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import os
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2022-06-07 01:52:32 +08:00
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import os
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2022-02-14 21:19:03 +08:00
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2022-07-06 22:00:58 +08:00
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requires = """torch>=1.8.0
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transformers>=4.10.0
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datasets==1.17.0
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sentencepiece>=0.1.96
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tqdm>=4.62.2
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# loralib
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decorator
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rich
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web.py
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gitpython
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2022-07-08 11:48:02 +08:00
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delta_center_client==0.0.4
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2022-07-06 22:00:58 +08:00
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"""
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def get_requirements():
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ret = [x for x in requires.split("\n") if len(x)>0]
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print("requirements:", ret)
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2022-02-14 21:19:03 +08:00
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return ret
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2022-07-06 22:00:58 +08:00
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# path = os.path.dirname(os.path.abspath(__file__))
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# requires = get_requirements(path)
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2022-02-14 21:19:03 +08:00
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with open('README.md', 'r') as f:
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setuptools.setup(
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name = 'opendelta',
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2022-07-08 11:48:02 +08:00
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version = "0.2.4",
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2022-02-14 21:19:03 +08:00
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description = "An open source framework for delta learning (parameter efficient learning).",
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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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author = '',
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author_email = 'shengdinghu@gmail.com',
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license="Apache",
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url="https://github.com/thunlp/OpenDelta",
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keywords = ['PLM', 'Parameter-efficient-Learning', 'AI', 'NLP'],
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2022-03-20 03:09:00 +08:00
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python_requires=">=3.6.0",
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2022-07-06 22:00:58 +08:00
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install_requires=get_requirements(),
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2022-06-07 01:52:32 +08:00
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package_dir={'opendelta':'opendelta'},
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package_data= {
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2022-07-03 10:30:59 +08:00
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'opendelta':["utils/interactive/templates/*.html", 'requirments.txt'],
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2022-06-07 01:52:32 +08:00
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},
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include_package_data=True,
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2022-02-14 21:19:03 +08:00
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packages=setuptools.find_packages(),
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classifiers=[
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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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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]
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)
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