56 lines
1.7 KiB
Docker
56 lines
1.7 KiB
Docker
# 使用NVIDIA的CUDA基础镜像
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#FROM nvidia/cuda:11.3.0-cudnn8-runtime-ubuntu18.04
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#FROM m11007322/cuda11.3.0-cudnn8-devel-ubuntu20.04-jupyterlab
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FROM nvidia/cuda:11.3.1-cudnn8-devel-ubuntu20.04
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# 安装Python和pip
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RUN apt-get update && apt-get install -y --no-install-recommends \
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python3 \
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python3-pip \
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&& rm -rf /var/lib/apt/lists/*
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# 安装Jupyter
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RUN pip3 install --no-cache-dir jupyter
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# 安装基础工具
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RUN apt-get update -yq --fix-missing \
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&& DEBIAN_FRONTEND=noninteractive apt-get install -yq --no-install-recommends \
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pkg-config \
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wget \
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cmake \
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curl \
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git \
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vim
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# 创建一个新的Conda环境
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RUN apt-get update && apt-get install -y wget \
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&& wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \
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&& /bin/bash Miniconda3-latest-Linux-x86_64.sh -b -p /opt/conda \
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&& rm Miniconda3-latest-Linux-x86_64.sh \
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&& apt-get remove --purge --auto-remove -y wget \
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&& apt-get clean \
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&& ln -s /opt/conda/bin/conda /usr/bin/conda \
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&& conda update -n base -c defaults conda
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SHELL ["/bin/bash","-ic"]
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# 增加cuda全局变量
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RUN echo "export CUDA_HOME=/usr/local/cuda" >> ~/.bashrc \
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&& echo "export PATH=${CUDA_HOME}/bin:$PATH" >> ~/.bashrc \
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&& echo "export LD_LIBRARY_PATH=${CUDA_HOME}/lib64:$LD_LIBRARY_PATH" >> ~/.bashrc \
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&& source ~/.bashrc
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#&& echo "nameserver 8.8.8.8" >> /etc/resolv.conf
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# 安装cv2依赖，修复libGL.so.1错误
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RUN apt-get update
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RUN apt-get install ffmpeg libsm6 libxext6 -y
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# 配置Jupyter
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ENV JUPYTER_ENABLE_LAB=yes
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ENV USER=root
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ENV HOME=/home/$USER
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# 设置工作目录
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WORKDIR /root
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# 设置启动命令
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CMD ["jupyter", "lab", "--ip='*'", "--port=8888", "--no-browser", "--allow-root"] |