############################################################################### # Stage 0 — builder:CUDA 12.6.1 + nvcc/gcc,用来 # 1) 下载 torch-2.7.1+cu124 / torchvision-0.22.1+cu124 wheel # 2) 下载 flashinfer-python (torch2.7/cu124) wheel # 3) 编译本地 sglang 源码并打 wheel ############################################################################### ARG CUDA_VERSION=12.6.1 ARG CUINDEX=124 # 使用 cu124 官方 wheel FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu22.04 AS builder ENV DEBIAN_FRONTEND=noninteractive \ PYTHONUNBUFFERED=1 LANG=C.UTF-8 LC_ALL=C.UTF-8 RUN apt-get update && apt-get install -y --no-install-recommends \ python3 python3-pip python3-distutils build-essential git ca-certificates && \ python3 -m pip install --no-cache-dir --upgrade pip setuptools wheel # ---- ① 预下载 PyTorch / TorchVision cu124 wheel -------------------------- RUN python3 -m pip download --no-deps -d /tmp/wheels \ --index-url https://download.pytorch.org/whl/cu${CUINDEX} \ torch==2.7.1 torchvision==0.22.1 # ---- ② 预下载 flashinfer (torch2.7 / cu124) ------------------------------ RUN python3 -m pip download --no-deps -d /tmp/wheels \ --find-links https://flashinfer.ai/whl/cu${CUINDEX}/torch2.7/flashinfer-python \ flashinfer-python # ---- ③ 安装依赖,供后续 sglang 编译 -------------------------------------- RUN python3 -m pip install --no-cache-dir /tmp/wheels/* # ---- ④ COPY 本地 sglang 源码并编 wheel ------------------------------------ COPY ./sglang /sgl-workspace/sglang WORKDIR /sgl-workspace/sglang/python RUN python3 -m pip wheel '.[srt,openai]' --no-deps -w /tmp/wheels ############################################################################### # Stage 1 — runtime:极简运行镜像(无编译链,离线装 wheel) ############################################################################### ARG CUDA_VERSION=12.6.1 FROM nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu22.04 ENV DEBIAN_FRONTEND=noninteractive \ PYTHONUNBUFFERED=1 LANG=C.UTF-8 LC_ALL=C.UTF-8 RUN apt-get update && apt-get install -y --no-install-recommends \ python3 python3-pip python3-distutils ca-certificates && \ rm -rf /var/lib/apt/lists/* && \ python3 -m pip install --no-cache-dir --upgrade pip # ---- 一次性离线安装 torch / TV / flashinfer / sglang ---------------------- COPY --from=builder /tmp/wheels /tmp/wheels RUN python3 -m pip install --no-cache-dir /tmp/wheels/* && rm -rf /tmp/wheels # ---- 仅打印帮助(CPU 机器也能跑) ---------------------------------------- CMD ["python3", "-m", "sglang.launch_server", "--help"]