chore: vendor sglang v0.5.10 snapshot
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212
third_party/sglang/python/pyproject_other.toml
vendored
Executable file
212
third_party/sglang/python/pyproject_other.toml
vendored
Executable file
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[build-system]
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requires = ["setuptools>=61.0", "setuptools-scm>=8.0", "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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dynamic = ["version"]
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description = "SGLang is a fast serving framework for large language models and vision language models."
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readme = "README.md"
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requires-python = ">=3.10"
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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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"IPython",
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"aiohttp",
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"anthropic>=0.20.0",
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"blobfile==3.0.0",
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"av",
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"build",
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"compressed-tensors",
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"datasets",
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"einops",
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"fastapi",
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"gguf",
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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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"numpy",
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"openai-harmony==0.0.4",
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"openai==2.6.1",
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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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"py-spy",
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"pybase64",
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"pydantic",
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"python-multipart",
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"pyzmq>=25.1.2",
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"requests",
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"scipy",
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"sentencepiece",
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"setproctitle",
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"soundfile==0.13.1",
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"tiktoken",
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"timm==1.0.16",
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"torchao==0.9.0",
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"tqdm",
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"mistral_common>=1.9.0",
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"transformers==5.3.0",
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"uvicorn",
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"uvloop",
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"xgrammar==0.1.32",
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"smg-grpc-servicer>=0.5.0",
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]
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diffusion_common = [
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"PyYAML==6.0.1",
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"cloudpickle",
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"diffusers==0.37.0",
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"imageio==2.36.0",
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"imageio-ffmpeg==0.5.1",
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"moviepy>=2.0.0",
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"opencv-python-headless==4.10.0.84",
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"remote-pdb",
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"addict",
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"scikit-image==0.25.2",
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"trimesh>=4.0.0",
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"xatlas",
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]
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tracing = [
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"opentelemetry-sdk",
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"opentelemetry-api",
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"opentelemetry-exporter-otlp",
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"opentelemetry-exporter-otlp-proto-grpc",
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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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"petit_kernel==0.0.2",
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"wave-lang==3.8.2",
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]
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diffusion_hip = [
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"sglang[diffusion_common]",
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"peft>=0.18.0",
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"st_attn==0.0.7",
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"vsa==0.0.4",
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"runai_model_streamer>=0.15.5",
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"cache-dit==1.1.8",
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]
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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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# https://docs.sglang.io/platforms/mthreads_gpu.md
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srt_musa = [
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"sglang[runtime_common]",
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"torch",
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"torch_musa",
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"torchada>=0.1.45",
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"mthreads-ml-py",
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"numpy<2.0",
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]
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diffusion_musa = [
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"sglang[diffusion_common]",
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"st_attn==0.0.7",
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"vsa==0.0.4",
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"runai_model_streamer>=0.15.5",
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"cache-dit==1.1.8",
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]
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# https://docs.sglang.io/platforms/mps.md
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srt_mps = [
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"sglang[runtime_common]",
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"torch==2.9.1",
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"torchao==0.9.0",
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"torchaudio==2.9.1",
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"torchvision",
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]
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diffusion_mps = [
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"sglang[diffusion_common]",
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"cloudpickle==3.1.2",
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"remote-pdb==2.1.0",
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"cache-dit==1.2.3",
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"addict==2.4.0",
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"av==16.1.0",
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"scikit-image==0.25.2",
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"trimesh>=4.0.0",
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"xatlas",
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]
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test = [
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"accelerate",
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"expecttest",
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"gguf",
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"jsonlines",
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"matplotlib",
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"pandas",
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"peft>=0.18.0",
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"pytest",
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"sentence_transformers",
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"tabulate",
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]
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all_hip = ["sglang[srt_hip]", "sglang[diffusion_hip]"]
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all_hpu = ["sglang[srt_hpu]"]
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all_musa = ["sglang[srt_musa]", "sglang[diffusion_musa]"]
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all_mps = ["sglang[srt_mps]", "sglang[diffusion_mps]"]
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dev_hip = ["sglang[all_hip]", "sglang[test]"]
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dev_hpu = ["sglang[all_hpu]", "sglang[test]"]
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dev_musa = ["sglang[all_musa]", "sglang[test]"]
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dev_mps = ["sglang[all_mps]", "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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[project.scripts]
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sglang = "sglang.cli.main:main"
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[tool.setuptools.package-data]
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"sglang" = [
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"srt/**/*",
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"jit_kernel/**/*"
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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.setuptools_scm]
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root = ".."
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version_file = "sglang/_version.py"
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git_describe_command = ["git", "describe", "--tags", "--long", "--match", "v*"]
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