32 lines
1.2 KiB
Docker
32 lines
1.2 KiB
Docker
# 使用官方的paddle镜像作为基础
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FROM registry.baidubce.com/paddlepaddle/paddle:2.6.1-gpu-cuda12.0-cudnn8.9-trt8.6
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# 设置工作目录
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WORKDIR /app
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# 设置环境变量
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ENV PYTHONUNBUFFERED=1 \
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# 设置时区
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TZ=Asia/Shanghai \
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# 设置pip镜像地址，加快安装速度
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PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple
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# 安装依赖
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COPY requirements.txt /app/requirements.txt
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COPY packages /app/packages
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RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo '$TZ' > /etc/timezone \
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&& pip install --no-cache-dir -r requirements.txt \
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&& pip uninstall -y onnxruntime onnxruntime-gpu \
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&& pip install onnxruntime-gpu==1.18.0 --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/ \
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&& pip install packages/torch-2.4.0+cu121-cp310-cp310-linux_x86_64.whl \
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&& pip install packages/torchvision-0.19.0+cu121-cp310-cp310-linux_x86_64.whl \
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&& pip install packages/torchaudio-2.4.0+cu121-cp310-cp310-linux_x86_64.whl
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# 将当前目录内容复制到容器的/app内
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COPY . /app
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# 暴露端口
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# EXPOSE 8081
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# 运行python脚本，具体脚本在命令行或docker-compose.yml文件中定义
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ENTRYPOINT ["python"] |