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#
# 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.
# setup.py is the fallback installation script when pyproject.toml does not work
import os
from pathlib import Path
from setuptools import find_packages, setup
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()
install_requires = [
"accelerate",
"codetiming",
"datasets",
"dill",
"hydra-core",
"numpy",
"pandas",
"peft",
"pyarrow>=19.0.0",
"pybind11",
"pylatexenc",
"ray[default]>=2.41.0,<=2.50.0",
"torchdata",
"tensordict>=0.8.0,<=0.10.0,!=0.9.0",
"transformers<=4.57.3",
"wandb",
"packaging>=20.0",
"qwen-vl-utils[decord]",
]
TEST_REQUIRES = ["pytest", "pre-commit", "py-spy"]
PRIME_REQUIRES = ["pyext"]
GEO_REQUIRES = ["mathruler"]
GPU_REQUIRES = ["liger-kernel", "flash-attn"]
MATH_REQUIRES = ["math-verify"] # Add math-verify as an optional dependency
VLLM_REQUIRES = ["tensordict>=0.8.0,<=0.10.0,!=0.9.0", "vllm>=0.8.5,<=0.11.0"]
SGLANG_REQUIRES = [
"tensordict>=0.8.0,<=0.10.0,!=0.9.0",
"sglang[srt,openai]==0.5.5",
"torch==2.8.0",
]
TRL_REQUIRES = ["trl<=0.9.6"]
MCORE_REQUIRES = ["mbridge"]
TRANSFERQUEUE_REQUIRES = ["TransferQueue==0.1.2.dev0"]
extras_require = {
"test": TEST_REQUIRES,
"prime": PRIME_REQUIRES,
"geo": GEO_REQUIRES,
"gpu": GPU_REQUIRES,
"math": MATH_REQUIRES,
"vllm": VLLM_REQUIRES,
"sglang": SGLANG_REQUIRES,
"trl": TRL_REQUIRES,
"mcore": MCORE_REQUIRES,
"transferqueue": TRANSFERQUEUE_REQUIRES,
}
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="zhangchi.usc1992@bytedance.com, gmsheng@connect.hku.hk",
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",
)
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