r - 对R中使用mxnet软件包的应用进行Docker化

Question

我正在使用“mxnet”包对一个 Shiny 的应用程序进行 docker 处理。经过大量的努力，我得出的结论是，我需要构建和安装软件包，而不是仅从dmlc仓库正常安装它。下面是我尝试构建和安装mxnet的简化dockerfile:

FROM r-base:latest


RUN apt-get update && apt-get install -y \
sudo \
gdebi-core \
pandoc \
pandoc-citeproc \
libcurl4-gnutls-dev \
libcairo2-dev/unstable \
libxt-dev \
libssl-dev

# Download and install shiny server
RUN wget --no-verbose https://s3.amazonaws.com/rstudio-shiny-server-os-   build/ubuntu-12.04/x86_64/VERSION -O "version.txt" && \
VERSION=$(cat version.txt)  && \
wget --no-verbose "https://s3.amazonaws.com/rstudio-shiny-server-os- build/ubuntu-12.04/x86_64/shiny-server-$VERSION-amd64.deb" -O ss-latest.deb && \
gdebi -n ss-latest.deb && \
rm -f version.txt ss-latest.deb

# Here comes the installation of other required packages:
# .......



#*** Here comes the problamatic bit: building Installing mxnet
RUN sudo apt-get update
RUN sudo apt-get install -y build-essential git libatlas-base-dev libopencv-dev

RUN git clone --recursive https://github.com/dmlc/mxnet
RUN cd mxnet; make -j$(nproc)

RUN Rscript -e "install.packages('devtools', repo = 'https://cran.rstudio.com')"

RUN cd R-package

RUN Rscript -e "library('devtools'); library('methods'); options(repos=c(CRAN='https://cran.rstudio.com')); install_deps(dependencies = TRUE)"


RUN cd ..

RUN make rpkg


COPY shiny-server.conf  /etc/shiny-server/shiny-server.conf
COPY /myapp/* /srv/shiny-server/

EXPOSE 80

COPY shiny-server.sh /usr/bin/shiny-server.sh

CMD ["/usr/bin/shiny-server.sh"]

运行此命令后，我收到一条错误消息:

can not cd to R-Package

有什么帮助吗？

Answer 1

试试看
RUN cd mxnet; make -j$(nproc)\
&& Rscript -e "install.packages('devtools', repo = 'https://cran.rstudio.com')"
您的RUN cd ..将不会执行您期望的操作，这与打开终端，执行cd abc/def和在另一个位于/ home / $ USER的终端中执行cd ..的操作相同，您将不在abc中。

您应该对RUN命令进行分组，以限制图像中的层数，请参阅

https://docs.docker.com/engine/userguide/eng-image/dockerfile_best-practices/

还要检查Dockerfile中的WORKDIR指令

https://docs.docker.com/engine/reference/builder/#workdir

您可以通过启动 shell 来检查正确完成(或不正确)的操作
docker run -it your_image /bin/bash
然后检查是否存在。