78 lines
3.2 KiB
Docker
78 lines
3.2 KiB
Docker
ARG CUDA_VERSION=12.5.1
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FROM nvcr.io/nvidia/tritonserver:24.04-py3-min
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ARG BUILD_TYPE=all
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ENV DEBIAN_FRONTEND=noninteractive
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# 安装依赖（强制 IPv4）
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RUN echo 'tzdata tzdata/Areas select Asia' | debconf-set-selections \
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&& echo 'tzdata tzdata/Zones/Asia select Shanghai' | debconf-set-selections \
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&& apt -o Acquire::ForceIPv4=true update -y \
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&& apt -o Acquire::ForceIPv4=true install software-properties-common -y \
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&& add-apt-repository ppa:deadsnakes/ppa -y \
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&& apt -o Acquire::ForceIPv4=true update \
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&& apt -o Acquire::ForceIPv4=true install python3.10 python3.10-dev -y \
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&& update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.10 1 \
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&& update-alternatives --set python3 /usr/bin/python3.10 \
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&& apt -o Acquire::ForceIPv4=true install python3.10-distutils -y \
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&& apt -o Acquire::ForceIPv4=true install curl git sudo libibverbs-dev -y \
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&& apt -o Acquire::ForceIPv4=true install -y rdma-core infiniband-diags openssh-server perftest ibverbs-providers libibumad3 libibverbs1 libnl-3-200 libnl-route-3-200 librdmacm1 \
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&& curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py \
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&& python3 get-pip.py \
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&& python3 --version \
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&& python3 -m pip --version \
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&& rm -rf /var/lib/apt/lists/* \
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&& apt clean
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# 安装 datamodel_code_generator（用于 MiniCPM 模型）
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RUN pip3 install datamodel_code_generator
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WORKDIR /sgl-workspace
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# 拷贝 sglang 源代码并构建包
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COPY ./sglang /sgl-workspace/sglang
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# 拷贝模型文件（修正方式）
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#COPY ./Alibaba/QwQ-32B /root/.cradle/Alibaba/QwQ-32B
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COPY ./Alibaba/QwQ-32B /root/.cradle/Alibaba/QwQ-32B
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ARG CUDA_VERSION
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# 安装依赖、安装 sglang、安装 transformers，并清理源码
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RUN python3 -m pip install --upgrade pip setuptools wheel html5lib six \
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&& if [ "$CUDA_VERSION" = "12.1.1" ]; then \
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CUINDEX=121; \
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elif [ "$CUDA_VERSION" = "12.4.1" ]; then \
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CUINDEX=124; \
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elif [ "$CUDA_VERSION" = "12.5.1" ]; then \
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CUINDEX=124; \
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elif [ "$CUDA_VERSION" = "11.8.0" ]; then \
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CUINDEX=118; \
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python3 -m pip install --no-cache-dir sgl-kernel -i https://docs.sglang.ai/whl/cu118; \
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else \
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echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1; \
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fi \
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&& python3 -m pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cu${CUINDEX} \
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&& python3 -m pip install --no-cache-dir psutil pyzmq pynvml \
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&& cd /sgl-workspace/sglang/python \
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&& python3 -m pip install --no-cache-dir '.[srt,openai]' --find-links https://flashinfer.ai/whl/cu${CUINDEX}/torch2.5/flashinfer-python \
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&& cd / && rm -rf /sgl-workspace/sglang \
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&& python3 -m pip install --no-cache-dir transformers==4.48.3 \
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&& python3 -c "import sglang; print('✅ sglang module installed successfully')"
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# 暴露端口
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EXPOSE 30000
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# 启动命令（QwQ 模型为例）
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CMD ["python3", "-m", "sglang.launch_server", \
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"--host","0.0.0.0", \
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"--port","30000", \
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"--model-path", "/root/.cradle/Alibaba/QwQ-32B/", \
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"--tp", "4", \
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"--api-key", "token-abc123"]
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# 设置回默认交互模式
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ENV DEBIAN_FRONTEND=interactive
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