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setup.py
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setup.py
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# Copyright 2024 Bytedance Ltd. and/or its affiliates
#
# 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 setup, find_packages
import os
version_folder = os.path.dirname(os.path.join(os.path.abspath(__file__)))
with open(os.path.join(version_folder, 'verl/version/version')) as f:
__version__ = f.read().strip()
# TODO: add version info to requirements
install_requires = [
'torch==2.4.0',
'tensordict',
'transformers',
'codetiming',
'pybind11',
'hydra-core',
'numpy',
'pytest',
'yapf',
"dill",
"accelerate"
]
install_optional = [
'vllm==0.5.4',
]
extras_require = {
'demo': ['hydra-core', 'transformers', ''],
'single-controller': ['ray', 'kubernetes'],
'single-controller-ray': ['ray'],
}
from pathlib import Path
this_directory = Path(__file__).parent
long_description = (this_directory / "README.md").read_text()
setup(
name='verl',
version=__version__,
package_dir={'': '.'},
packages=find_packages(where='.'),
url='https://github.com/volcengine/verl',
license='Apache 2.0',
author='Bytedance - Seed - MLSys',
author_email='[email protected], [email protected]',
description='veRL: Volcano Engine Reinforcement Learning for LLM',
install_requires=install_requires,
extras_require=extras_require,
package_data={'': ['version/*'],
'verl': ['trainer/config/*.yaml'],},
include_package_data=True,
long_description=long_description,
long_description_content_type='text/markdown'
)