mirror of
https://github.com/hanzo-ml/trainer.git
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70 lines
2.2 KiB
Python
70 lines
2.2 KiB
Python
# Copyright 2019 kubeflow.org.
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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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import setuptools
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TESTS_REQUIRES = [
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"pytest",
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"pytest-tornasync",
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"mypy",
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"black==24.3.0",
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"flake8==4.0.1",
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]
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REQUIRES = [
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"certifi>=14.05.14",
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"six>=1.10",
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"setuptools>=21.0.0",
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"urllib3>=1.15.1",
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"kubernetes>=27.2.0",
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"retrying>=1.3.3",
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]
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setuptools.setup(
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name="kubeflow-training",
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version="1.7.0",
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author="Kubeflow Authors",
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author_email="[email protected]",
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license="Apache License Version 2.0",
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url="https://github.com/kubeflow/training-operator/tree/master/sdk/python",
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description="Training Operator Python SDK",
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long_description="Training Operator Python SDK",
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packages=setuptools.find_packages(include=("kubeflow*")),
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package_data={},
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include_package_data=False,
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zip_safe=False,
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classifiers=[
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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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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"License :: OSI Approved :: Apache Software License",
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"Operating System :: OS Independent",
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"Topic :: Scientific/Engineering",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Topic :: Software Development",
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"Topic :: Software Development :: Libraries",
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"Topic :: Software Development :: Libraries :: Python Modules",
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],
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install_requires=REQUIRES,
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tests_require=TESTS_REQUIRES,
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extras_require={
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"test": TESTS_REQUIRES,
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"huggingface": ["transformers==4.38.0", "peft==0.3.0"],
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},
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)
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