158 lines
4.3 KiB
TOML
158 lines
4.3 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 = "0.4.8.post1"
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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 = ["aiohttp", "requests", "tqdm", "numpy", "IPython", "setproctitle"]
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[project.optional-dependencies]
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runtime_common = [
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"blobfile==3.0.0",
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"compressed-tensors",
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"datasets",
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"fastapi",
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"hf_transfer",
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"huggingface_hub",
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"interegular",
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"llguidance>=0.7.11,<0.8.0",
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"modelscope",
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"msgspec",
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"ninja",
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"orjson",
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"outlines==0.1.11",
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"packaging",
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"partial_json_parser",
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"pillow",
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"prometheus-client>=0.20.0",
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"psutil",
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"pydantic",
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"pynvml",
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"python-multipart",
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"pyzmq>=25.1.2",
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"soundfile==0.13.1",
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"scipy",
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"torchao==0.9.0",
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"transformers==4.52.3",
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"uvicorn",
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"uvloop",
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"xgrammar==0.1.19",
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]
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srt = [
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"sglang[runtime_common]",
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"sgl-kernel==0.1.9",
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"torch==2.7.1",
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"torchaudio==2.7.1",
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"torchvision==0.22.1",
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"cuda-python",
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"einops",
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"flashinfer_python==0.2.6.post1",
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]
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blackwell = [
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"sglang[runtime_common]",
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"sgl-kernel",
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"torch==2.7.1",
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"torchaudio==2.7.1",
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"torchvision==0.22.1",
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"cuda-python",
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"einops",
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"flashinfer_python==0.2.6.post1",
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]
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# HIP (Heterogeneous-computing Interface for Portability) for AMD
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# => base docker rocm/vllm-dev:20250114, not from public vllm whl
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srt_hip = [
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"sglang[runtime_common]",
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"torch",
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"vllm==0.6.7.dev2",
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]
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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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# For Intel Gaudi(device : hpu) follow the installation guide
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# https://docs.vllm.ai/en/latest/getting_started/gaudi-installation.html
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srt_hpu = ["sglang[runtime_common]"]
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# CPU: currently, there are no pre-built vllm wheels for CPU.
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# To install vllm for CPU, please follow the instruction here:
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# https://docs.vllm.ai/en/latest/getting_started/installation/cpu/index.html
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srt_cpu = ["sglang[runtime_common]", "einops"]
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# https://vllm-ascend.readthedocs.io/en/latest/installation.html
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srt_npu = ["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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torch_memory_saver = ["torch_memory_saver>=0.0.8"]
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decord = ["decord"]
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test = [
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"accelerate",
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"jsonlines",
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"matplotlib",
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"pandas",
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"peft",
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"timm",
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"sentence_transformers",
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]
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all = ["sglang[srt]", "sglang[openai]", "sglang[anthropic]", "sglang[litellm]", "sglang[torch_memory_saver]", "sglang[decord]"]
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all_hip = ["sglang[srt_hip]", "sglang[openai]", "sglang[anthropic]", "sglang[litellm]", "sglang[decord]"]
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all_xpu = ["sglang[srt_xpu]", "sglang[openai]", "sglang[anthropic]", "sglang[litellm]", "sglang[decord]"]
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all_hpu = ["sglang[srt_hpu]", "sglang[openai]", "sglang[anthropic]", "sglang[litellm]", "sglang[decord]"]
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all_cpu = ["sglang[srt_cpu]", "sglang[openai]", "sglang[anthropic]", "sglang[litellm]", "sglang[decord]"]
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all_npu = ["sglang[srt_npu]", "sglang[openai]", "sglang[anthropic]", "sglang[litellm]", "sglang[decord]"]
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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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dev_hpu = ["sglang[all_hpu]", "sglang[test]"]
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dev_cpu = ["sglang[all_cpu]", "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.package-data]
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"sglang" = [
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"srt/layers/moe/fused_moe_triton/configs/*/*.json",
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"srt/layers/quantization/configs/*.json",
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]
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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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[tool.codespell]
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ignore-words-list = "ans, als, hel, boostrap, childs, te, vas, hsa, ment"
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skip = "*.json,*.jsonl,*.patch,*.txt"
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