GRRM/pyproject.toml at main · NJUNLP/GRRM · GitHub

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[build-system]
requires = ["setuptools >= 61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "GRRM"
dynamic = ["version"]

dependencies = [
    "torch>=2.6.0",
    "torchvision",
    "transformers>=4.56.2",
    "datasets",
    "pandas",
    "pyarrow",
    "fire",
    "wandb",
]

requires-python = ">=3.10"

authors = [
    {name = "Sen Yang", email = "yangsen@smail.nju.edu.cn"},
]
maintainers = [
    {name = "Sen Yang", email = "yangsen@smail.nju.edu.cn"},
]

description = "GRRM: Group Relative Reward Modeling for Machine Translation"

readme = "README.md"

license = {file = "LICENSE"}

keywords = ["deep-learning", "pytorch", "large language model", "LLM", "machine translation", "reward modeling"]


classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
]

[project.urls]
Homepage = "https://github.com/NJUNLP/GRRM"
Repository = "https://github.com/NJUNLP/GRRM"
Issues = "https://github.com/NJUNLP/GRRM/issues"

[tool.setuptools]
packages = []
py-modules = []

[tool.setuptools.dynamic]
version = {file = ["VERSION"]}

[tool.setuptools.package-data]
"*" = ["*.md"]

[project.optional-dependencies]
infer = [
    "vllm>=0.10.2",
    "accelerate>=1.10.0",
    "flash-attn>=2.8.0",
]
eval = [
    "sacrebleu[ja,ko]",
    "bleurt @ git+https://github.com/google-research/bleurt.git@master",
    "tensorflow[and_cuda]",
    "kernels",
]