使用Dockerfile创建Ubuntu+Pytorch+CUDA 镜像

过程

安装Docker 参考ubuntu安装docker安装NVIDIA Container Toolkit 参考NVIDIA/nvidia-docker准备好Python-3.6.9.tar.xz从nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 镜像基础上搭建安装openssh-server、python、pytorchrun镜像时加上参数 --gpus all --ipc=host

Dockerfile

# BASE IMAGE FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 # LABEL MAINTAINER LABEL maintainer="ltobenull@gmail.com" SHELL ["/bin/bash","-c"] WORKDIR /tmp # copy安装文件 COPY Python-3.6.9.tar.xz /tmp # 设置 root 密码 RUN echo 'root:password' | chpasswd \ # 安装openssh-server 并配置 && apt-get update && apt-get -y install openssh-server \ && sed -i 's/UsePAM yes/UsePAM no/g' /etc/ssh/sshd_config \ && sed -i 's/PermitRootLogin prohibit-password/PermitRootLogin yes/g' /etc/ssh/sshd_config \ && mkdir /var/run/sshd \ # 安装python依赖包 && apt-get -y install build-essential python-dev python-setuptools python-pip python-smbus \ && apt-get -y install build-essential libncursesw5-dev libgdbm-dev libc6-dev \ && apt-get -y install zlib1g-dev libsqlite3-dev tk-dev \ && apt-get -y install libssl-dev openssl \ && apt-get -y install libffi-dev \ # 安装python 3.6.9 && mkdir -p /usr/local/python3.6 \ && tar xvf Python-3.6.9.tar.xz \ && cd Python-3.6.9 \ && ./configure --prefix=/usr/local/python3.6 \ && make altinstall \ # 建立软链接 && ln -snf /usr/local/python3.6/bin/python3.6 /usr/bin/python3 \ && ln -snf /usr/local/python3.6/bin/pip3.6 /usr/bin/pip3\ # 安装pytorch && mkdir ~/.pip && echo -e '[global] \nindex-url = https://mirrors.aliyun.com/pypi/simple/' >> ~/.pip/pip.conf \ && pip3 install torch===1.2.0 torchvision===0.4.0 -f https://download.pytorch.org/whl/torch_stable.html \ # 清理copy的安装文件 && apt-get clean \ && rm -rf /tmp/* /var/tmp/* EXPOSE 22 CMD ["/usr/sbin/sshd", "-D"]