这里罗列一些打包的镜像，方便直接使用。

cu11.6ubuntu18.04

docker push kevinchina/deeplearning

.6ubuntu18.04

bash
FROM nvidia/cuda:11.6.2-cudnn8-devel-ubuntu18.04
RUN apt-get update && apt-get install -y wget git vim curl
RUN wget http://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/conda.sh && \
    bash /tmp/conda.sh -b && rm /tmp/conda.sh
ENV DEBIAN_FRONTEND=noninteractive
# 安装 tzdata 包并设置时区为上海（无交互）
RUN apt-get update && \
    apt-get install -y tzdata && \
    ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && \
    echo "Asia/Shanghai" > /etc/timezone
RUN ~/miniconda3/bin/conda init bash && . ~/.bashrc
RUN . ~/.bashrc && curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh |  bash && \
    apt-get install -y git-lfs && git-lfs install
RUN apt-get install -y python3-pip
# 打印~/.bashrc
RUN . ~/.bashrc && pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
RUN . ~/.bashrc && conda create -n py3_10_c2 python=3.10 -y
# RUN . ~/.bashrc && conda activate py3_10_c2 && conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.6 -c pytorch -c nvidia -y

cu11.8ubuntu22.04

docker push kevinchina/deeplearning

.8ubuntu22.04

bash
FROM nvidia/cuda:11.8.0-devel-ubuntu22.04
RUN apt-get update && apt-get install -y wget git vim curl
RUN wget http://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/conda.sh && \
    bash /tmp/conda.sh -b && rm /tmp/conda.sh
ENV DEBIAN_FRONTEND=noninteractive
# 安装 tzdata 包并设置时区为上海（无交互）
RUN apt-get update && \
    apt-get install -y tzdata && \
    ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && \
    echo "Asia/Shanghai" > /etc/timezone
RUN ~/miniconda3/bin/conda init bash && . ~/.bashrc
RUN . ~/.bashrc && curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh |  bash && \
    apt-get install -y git-lfs && git-lfs install
RUN apt-get install -y python3-pip
# 打印~/.bashrc
RUN . ~/.bashrc && pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
RUN . ~/.bashrc && conda create -n py3_10_c2 python=3.10 -y
#RUN . ~/.bashrc && conda activate py3_10_c2 && conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.6 -c pytorch -c nvidia -y

cuda:11.8.0-cudnn8-runtime-ubuntu22.04 + 纯python

clike
FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04
ENV DEBIAN_FRONTEND=noninteractive
# 安装基本软件包
RUN apt-get update && \
    apt-get upgrade -y && \
    apt-get -y --no-install-recommends install vim wget curl build-essential python3.10 python3-pip sudo && \
    update-alternatives --install /usr/bin/python python /usr/bin/python3.10 1 && \
    apt-get install -y libgl1 libglib2.0-0 ffmpeg tzdata && \
    ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && \
    echo "Asia/Shanghai" > /etc/timezone
# 创建用户xd
RUN useradd -m -s /bin/bash xd
# 设置用户xd的密码为qwer1234..
RUN echo 'xd:qwer1234..' | chpasswd
# 将用户xd添加到sudo组并配置sudo无密码
RUN usermod -aG sudo xd && echo 'xd ALL=(ALL) NOPASSWD:ALL' > /etc/sudoers.d/xd
# 切换到xd用户
USER xd
# 设置工作目录
WORKDIR /home/xd

clike
FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04
ENV DEBIAN_FRONTEND=noninteractive
# 安装基本软件包
RUN apt-get update && \
    apt-get upgrade -y && \
    apt-get -y --no-install-recommends install vim wget curl git build-essential python3.10 python3-pip python3.10-venv sudo && \
    update-alternatives --install /usr/bin/python python /usr/bin/python3.10 1 && \
    apt-get install -y libgl1 libglib2.0-0
# 安装 tzdata 包并设置时区为上海（无交互）
RUN apt-get update && \
    apt-get install -y tzdata && \
    ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && \
    echo "Asia/Shanghai" > /etc/timezone

nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04

nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04 + 纯python+cuda12.1 pytorch 2.1

已推：docker push kevinchina/deeplearning

.1torch2.1.1

bash
FROM nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04
ENV DEBIAN_FRONTEND=noninteractive
# 安装基本软件包
RUN apt-get update && \
    apt-get upgrade -y && \
    apt-get -y --no-install-recommends install vim wget curl git build-essential python3.10 python3-pip python3.10-venv sudo && \
    update-alternatives --install /usr/bin/python python /usr/bin/python3.10 1 && \
    apt-get install -y libgl1 libglib2.0-0
# 安装 tzdata 包并设置时区为上海（无交互）
RUN apt-get update && \
    apt-get install -y tzdata && \
    ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && \
    echo "Asia/Shanghai" > /etc/timezone
RUN pip install torch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 --index-url https://download.pytorch.org/whl/cu121

cuda11.8+python

docker push kevinchina/deeplearning

python
FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04
ENV DEBIAN_FRONTEND=noninteractive
# 安装基本软件包
RUN apt-get update && \
    apt-get upgrade -y && \
    apt-get -y --no-install-recommends install vim wget curl build-essential python3.10-dev python3.10 python3-pip sudo && \
    update-alternatives --install /usr/bin/python python /usr/bin/python3.10 1 && \
    apt-get install -y libgl1 libglib2.0-0 ffmpeg tzdata && \
    ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && \
    echo "Asia/Shanghai" > /etc/timezone
RUN apt-get -y --no-install-recommends install vim wget curl git build-essential python3.10 python3-pip python3.10-venv sudo
RUN apt-get install -y libgl1 libglib2.0-0

cuda11.8+python+torch2.1.2

docker push kevinchina/deeplearning

.1.2

python
# CUDA 11.8
FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04
ENV DEBIAN_FRONTEND=noninteractive
# 安装基本软件包
RUN apt-get update && \
    apt-get upgrade -y && \
    apt-get -y --no-install-recommends install vim wget curl build-essential python3.10-dev python3.10 python3-pip sudo && \
    update-alternatives --install /usr/bin/python python /usr/bin/python3.10 1 && \
    apt-get install -y libgl1 libglib2.0-0 ffmpeg tzdata && \
    ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && \
    echo "Asia/Shanghai" > /etc/timezone
RUN apt-get -y --no-install-recommends install vim wget curl git build-essential python3.10 python3-pip python3.10-venv sudo
RUN apt-get install -y libgl1 libglib2.0-0
RUN pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cu118