Docker实践——Dockerfile编写

Dockerfile

FROM nvidia/cuda:10.2-cudnn8-runtime-ubuntu18.04
LABEL author="xxxxxx"

# reference: https://blog.csdn.net/gandongusa/article/details/104598860/

# 修改ubuntu为阿里源
RUN sed -i 's/archive.ubuntu.com/mirrors.aliyun.com/g' /etc/apt/sources.list && \
    sed -i 's/security.ubuntu.com/mirrors.aliyun.com/g' /etc/apt/sources.list       
RUN apt-get -y clean \
    && apt-get -y update --fix-missing \
    && apt-get -y upgrade

# 非交互模式
ENV DEBIAN_FRONTEND noninteractive

# 下载必要的软件
# RUN apt-get install -y apt-utils sudo vim iproute2 wget
RUN apt-get install -y apt-utils sudo git nano wget openssh-server cmake build-essential \
    && apt-get -y autoclean \
    && apt-get -y autoremove 


# Miniconda
COPY Miniconda3-py38_4.9.2-Linux-x86_64.sh /opt
RUN /bin/bash /opt/Miniconda3-py38_4.9.2-Linux-x86_64.sh -b -p /opt/miniconda3
#     & rm -rf /opt/Miniconda3-py38_4.9.2-Linux-x86_64.sh
# ENV CONDA_HOME=/opt/miniconda3

# Add user
RUN useradd -ms /bin/bash xxx \
    && adduser xxx sudo \
    && echo "xxx:0000"|chpasswd \
    && echo "root:0000"|chpasswd

# Set User
ENV HOME=/home/wei
ENV HSOTNAME=dell-vostro
ENV DEBIAN_FRONTEND=noninteractive

# # workdir
WORKDIR /home/xxx
USER xxx

# 添加conda变量到PATH
RUN echo '\n\
__conda_setup="$('/opt/miniconda3/bin/conda' 'shell.bash' 'hook' 2> /dev/null)"\n\
if [ $? -eq 0 ]; then\n\
    eval "$__conda_setup"\n\
else\n\
    if [ -f "/opt/miniconda3/etc/profile.d/conda.sh" ]; then\n\
        . "/opt/miniconda3/etc/profile.d/conda.sh"\n\
    else\n\
        export PATH="/opt/miniconda3/bin:$PATH"\n\
    fi\n\
fi\n\
unset __conda_setup\n'\
>> ~/.bashrc


# 修改pip 源
RUN mkdir ~/.pip && \
    cd ~/.pip && \
echo "\
[global]\n\
index-url = https://mirrors.aliyun.com/pypi/simple/\n\
\n\
[install]\n\
trusted-host=mirrors.aliyun.com\n"\
> ~/.pip/pip.conf 

ENV PIP=/opt/miniconda3/bin/pip PIP_URL=https://mirrors.aliyun.com/pypi/simple/
RUN $PIP install numpy -i  $PIP_URL \
    && $PIP install numpy -i $PIP_URL \
    && $PIP install opencv-python -i $PIP_URL \
    && $PIP install torchvision -i $PIP_URL \
    && $PIP install torchaudio -i $PIP_URL \
    && $PIP install torchtext -i $PIP_URL \
    && $PIP install onnxruntime-gpu -i $PIP_URL \
    && $PIP install tensorflow==2.3.0 -i $PIP_URL 

# 设置容器运行时执行的命令，启动ssh服务,并进入bash Shell
ENTRYPOINT sudo service ssh start && /bin/bash

# pip pkgs
# COPY ./*.whl Backup/wheel_pkgs/


# SHELL ["/bin/bash", "-c"]
# RUN /bin/bash -c "source ~/.bashrc" \
#     && which pip \
#     && which python \
#     && pip install numpy 


# RUN which pip \
#     && which python

# # pytroch
# RUN pip install torch torchvision \
#     && pip install onnxruntime-gpu

# # 设置容器运行时执行的命令，启动ssh服务,并进入bash Shell
# ENTRYPOINT sudo service ssh start && /bin/bash