75 lines
2.3 KiB
TOML
75 lines
2.3 KiB
TOML
[build-system]
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requires = ["setuptools>=61.0", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "sglang"
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version = "0.3.5.post2"
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description = "SGLang is yet another fast serving framework for large language models and vision language models."
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readme = "README.md"
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requires-python = ">=3.8"
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license = { file = "LICENSE" }
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classifiers = [
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"Programming Language :: Python :: 3",
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"License :: OSI Approved :: Apache Software License",
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]
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dependencies = ["requests", "tqdm", "numpy", "IPython"]
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[project.optional-dependencies]
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runtime_common = ["aiohttp", "decord", "fastapi", "hf_transfer", "huggingface_hub", "interegular",
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"orjson", "packaging", "pillow", "prometheus-client>=0.20.0", "psutil", "pydantic", "python-multipart",
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"torchao", "uvicorn", "uvloop", "pyzmq>=25.1.2",
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"outlines>=0.0.44,<0.1.0", "modelscope"]
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srt = ["sglang[runtime_common]", "torch", "vllm>=0.6.3.post1"]
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# HIP (Heterogeneous-computing Interface for Portability) for AMD
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# => base docker rocm/vllm-dev:20241022, not from public vllm whl
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srt_hip = ["sglang[runtime_common]", "torch", "vllm==0.6.3.dev13"]
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# xpu is not enabled in public vllm and torch whl,
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# need to follow https://docs.vllm.ai/en/latest/getting_started/xpu-installation.htmlinstall vllm
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srt_xpu = ["sglang[runtime_common]"]
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openai = ["openai>=1.0", "tiktoken"]
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anthropic = ["anthropic>=0.20.0"]
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litellm = ["litellm>=1.0.0"]
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test = [
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"jsonlines",
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"matplotlib",
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"pandas",
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"sentence_transformers",
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"accelerate",
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"peft",
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]
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all = ["sglang[srt]", "sglang[openai]", "sglang[anthropic]", "sglang[litellm]"]
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all_hip = ["sglang[srt_hip]", "sglang[openai]", "sglang[anthropic]", "sglang[litellm]"]
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all_xpu = ["sglang[srt_xpu]", "sglang[openai]", "sglang[anthropic]", "sglang[litellm]"]
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dev = ["sglang[all]", "sglang[test]"]
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dev_hip = ["sglang[all_hip]", "sglang[test]"]
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dev_xpu = ["sglang[all_xpu]", "sglang[test]"]
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[project.urls]
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"Homepage" = "https://github.com/sgl-project/sglang"
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"Bug Tracker" = "https://github.com/sgl-project/sglang/issues"
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[tool.setuptools.packages.find]
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exclude = [
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"assets*",
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"benchmark*",
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"docs*",
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"dist*",
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"playground*",
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"scripts*",
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"tests*",
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]
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[tool.wheel]
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exclude = [
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"assets*",
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"benchmark*",
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"docs*",
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"dist*",
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"playground*",
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"scripts*",
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"tests*",
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]
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