llm-on-ray

[build-system]
requires = ["setuptools", "setuptools-scm"]
build-backend = "setuptools.build_meta"

[project]
name = "llm-on-ray"
version = "0.0.1"
description = "LLM on Ray Workflow"
readme = "README.md"
requires-python = ">=3.9"
keywords = ["llm", "ray"]
license = {text = "Apache-2.0"}
classifiers = [
    "Development Status :: 2 - Pre-Alpha",
    "Programming Language :: Python :: 3",
    "Environment :: GPU :: Intel Data Center GPU",
    "Environment :: HPU :: Gaudi",
    "Framework :: Ray"
]
dependencies = [
    "accelerate",
    "datasets>=2.14.6",
    "numpy",
    "ray>=2.9",
    "typing>=3.7.4.3",
    "tabulate",
    "fastapi<=0.108.0",
    "ray[tune]",
    "ray[serve]",
    "gymnasium",
    "dm-tree",
    "tensorboard",
    "scikit-image",
    "einops",
    "peft>=0.4.0",
    "deltatuner==1.1.9",
    "py-cpuinfo",
    "pydantic-yaml"
]

[project.optional-dependencies]
cpu = [
    "torch==2.1.2",
    "torchvision==0.16.2",
    "torchaudio==2.1.2",
    "intel-extension-for-pytorch==2.1.100",
    "oneccl_bind_pt==2.1.0"

]

gpu = [
    "transformers>=4.35.0",
    "torch==2.1.0a0",
    "torchvision==0.16.0a0",
    "intel_extension_for_pytorch==2.1.10+xpu",
    "oneccl_bind_pt==2.1.100+xpu",
    "dpctl==0.15.0"
]

deepspeed = [
    "packaging>=20.0",
    "psutil",
    "tqdm",
    # 0.10.2 is required to support bloom
    "deepspeed>=0.10.2, <0.11.2"
]

bigdl-cpu = [
    "bigdl-llm[all]"
]


[tool.setuptools]
# with MANIFEST.in, the configs below work in both baremetal and container
package-dir = {"inference" = "inference", "finetune" = "finetune"}
include-package-data = true

[project.urls]
Repository = "https://github.com/intel/llm-on-ray.git"
Issues = "https://github.com/intel/llm-on-ray.git/issues"

[tool.black]
line-length = 100