dockerfile 常用的环境编写 miniconda3 dockerfile python

miniconda3的一个基础镜像，其中安装fastapi和opencv。

kevinchina/deeplearning:miniconda3base0.2

FROM kevinchina/deeplearning:wrfbaseenv
COPY deps /deps
RUN rm -rf /etc/yum.repos.d/* && 
    cp /deps/CentOS-base.repo /etc/yum.repos.d/ && 
    yum clean all
RUN yum install wget opencv -y
RUN wget http://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/conda.sh && 
    /bin/bash /tmp/conda.sh -b && 
    cp -f /deps/.condarc ~/ && rm /tmp/conda.sh
ENV PATH ~/miniconda3/bin:$PATH
RUN ~/miniconda3/bin/conda init bash && 
    . ~/.bashrc && 
    conda create -n py38 python=3.8.12 -y
RUN . ~/.bashrc && 
    conda activate py38 && 
    pip install -i https://pypi.tuna.tsinghua.edu.cn/simple pip -U && 
    pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple && 
    pip install fastapi uvicorn python-multipart requests opencv-python numpy
RUN cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && echo 'Asia/Shanghai' >/etc/timezone

在上一个基础上，安装pytorch cpu版本 1.8
kevinchina/deeplearning:miniconda3base0.3

FROM kevinchina/deeplearning:miniconda3base0.2
RUN . ~/.bashrc && conda activate py38 && conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 cpuonly -c pytorch

cuda11.1+pytorch1.8+opencv
kevinchina/deeplearning:cuda11.1pytorch1.8baseenv0.1

FROM kevinchina/deeplearning:cuda11.1pytorch1.8baseenv
RUN cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && echo 'Asia/Shanghai' >/etc/timezone

cuda10.2+pytorch1.8+opencv
kevinchina/deeplearning:cuda10.2pytorch1.8baseenv0.1

FROM nvidia/cuda:10.2-cudnn7-devel-centos7
COPY deps /deps
RUN rm -rf /etc/yum.repos.d/* && cp /deps/CentOS-base.repo /etc/yum.repos.d/ && yum clean all
RUN yum install wget opencv vim -y
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 && 
    cp -f /deps/.condarc /root/
RUN ~/miniconda3/bin/conda init bash && . ~/.bashrc && conda create -n py38 python=3.8.12 -y
RUN . ~/.bashrc && conda activate py38 && pip install -i https://pypi.tuna.tsinghua.edu.cn/simple pip -U && pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple && pip install fastapi uvicorn python-multipart requests opencv-python numpy
RUN . ~/.bashrc && conda activate py38 && conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 cudatoolkit=10.2 -c pytorch -y
RUN cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && echo 'Asia/Shanghai' >/etc/timezone