I have a Docker container running "FROM arm64v8/oraclelinux:8" , I am running this on a Mac m1 mini using tightvnc.
I want to add a user called "suiteuser" (uid 42065) and in a group called "cvsgroup" (gid 513), inside my docker container, So that when I run the container it starts under my user directly.
Here is my entire Dockerfile-
FROM arm64v8/oraclelinux:8
# Setup basic environment stuff
ENV container docker
ENV LANG en_US.UTF-8
ENV TZ EST
ENV DEBIAN_FRONTEND=noninteractive
# Base image stuff
#RUN yum install -y zlib-devel bzip2 bzip2-devel readline-devel sqlite sqlite-devel openssl-devel vim yum-utils sssd sssd-tools krb5-libs krb5-workstation.x86_64
# CCSMP dependent
RUN yum install -y wget
RUN yum install -y openssl-libs-1.1.1g-15.el8_3.aarch64
RUN yum install -y krb5-workstation krb5-libs krb5-devel
RUN yum install -y glibc-devel glibc-common
RUN yum install -y make gcc java-1.8.0-openjdk-devel tar perl maven svn openssl-devel gcc
RUN yum install -y gdb
RUN yum install -y openldap* openldap-clients nss-pam-ldapd
RUN yum install -y zlib-devel bzip2 bzip2-devel vim yum-utils sssd sssd-tools
# Minor changes to image to get ccsmp to build
RUN ln -s /usr/lib/jvm/java-1.8.0-openjdk /usr/lib/jvm/default-jvm
RUN cp /usr/include/linux/stddef.h /usr/include/stddef.h
# Install ant 1.10.12
RUN wget https://mirror.its.dal.ca/apache//ant/binaries/apache-ant-1.10.12-bin.zip
RUN unzip apache-ant-1.10.12-bin.zip && mv apache-ant-1.10.12/ /opt/ant
ENV JAVA_HOME /usr
ENV ANT_HOME="/usr/bin/ant"
ENV PATH="/usr/bin/ant:$PATH"
CMD /bin/bash
could anyone please suggest any ideas on how to do this.
Note 1. I know its not advisable to do this directly in the container as, every time you want to make any changes you would have to rebuild it, but this time i want to do this.
To create the group:
RUN groupadd -g 513 cvsgroup
To create the user, as a member of that group:
RUN useradd -G cvsgroup -m -u 42065 suiteuser
And toward the end of Dockerfile, you can set the user:
USER suiteuser
There may be more to do here, though, depending on your application. For example, you may need to chown some of the contents to be owned by suiteuser.
Related
I need to have a Dockerfile with Python3 and the latest version of OpenCV. The Dockerfile I have written is described below:
FROM ubuntu
#Install OpenCV
RUN apt-get update &&\
apt-get install -y cmake
RUN apt-get install -y gcc g++
RUN apt-get install -y python3-dev python3-numpy
# To support GUI features
RUN apt-get install -y libavcodec-dev libavformat-dev libswscale-dev
# To support GTK 2
RUN apt-get install -y libgtk2.0-dev
# To support GTK 3
RUN apt-get install -y libgtk-3-dev
#Optional dependencies
RUN apt-get install -y libpng-dev
RUN apt-get install -y libjpeg-dev
RUN apt-get install -y libopenexr-dev
RUN apt-get install -y libtiff-dev
RUN apt-get install -y libwebp-dev
# Clone OpenCV repo
RUN apt-get install -y git
RUN git clone https://github.com/opencv/opencv.git
#Compile
RUN mkdir /opencv/build && \
cd /opencv/build
RUN cmake ..
RUN make
However, when i run it, it gives me the following error with cmake.
Step 17/27 : RUN cmake ..
---> Running in 3dca32df2036
CMake Error: The source directory "/" does not appear to contain CMakeLists.txt.
Specify --help for usage, or press the help button on the CMake GUI.
The command '/bin/sh -c cmake ..' returned a non-zero code: 1
Do you know what am i doing wrong?
You just need to chain the last RUN instructions:
#Compile
RUN mkdir /opencv/build && \
cd /opencv/build && \
cmake .. && \
make
Explanation:
A RUN statement creates a new image layer and executes the specified shell command. This means that each RUN statement will run the command in a separate shell, so the current directory from the previous RUN will not be preserved (you can see that the CMake current directory is / by looking closely at the error message).
You can find more info about RUN statement in the Docker documentation and I also recommend reading Best practices for writing Dockerfiles.
I have been scratching my head since past 2 days for this issue. I am using amazon linux image and trying to install redis through a Dockerfile, but this doesn't work.
RUN yum install -y java-17-amazon-corretto.x86_64
RUN yum install -y tar
RUN yum install -y wget
RUN yum -y update
RUN yum -y install gcc make
RUN wget http://download.redis.io/redis-stable.tar.gz
RUN tar xvzf redis-stable.tar.gz
RUN cd redis-stable/deps
make hiredis jemalloc linenoise lua geohash-int
cd ..
make install
When I follow the docs, it says run make and make install from the root of the install directory.
RUN cd redis-stable
RUN make
RUN make install
I rented a docker platform container and tried to run it using a Dockerfile with the following code:
FROM debian:buster-slim
RUN cd /tmp
RUN apt update
RUN apt full-upgrade -y
RUN apt install wget libglib2.0-0 netbase -y
RUN wget https://(sample download link for the program to be installed).deb
RUN dpkg -i /tmp/(example program).deb
CMD /opt/my program/my program
However in running pods I get log information like this:
This Program requires root privileges
When I try to install it in Workdir root with example docker file:
FROM ubuntu:focal
WORKDIR /root
RUN cd /root
RUN apt update
RUN apt full-upgrade -y
RUN apt install wget libglib2.0-0 netbase -y
RUN wget https://(sample download link for the program to be installed).deb
RUN dpkg -i /tmp/(example program).deb
RUN chmod +x /root/my program
CMD /root/My Programs
The result I got was:
/bin/bash My program Permisson denied
tried to change CMD to add to:
CMD["bash", "/root/myprogram"]
The result is still
/bash My program Permisson denied
I wrapped the above code using dockerfile.
Set base image (host OS)
FROM python:3.8
RUN apt-get update && apt-get install -y \
python-pip
Installing wget command
RUN pip install wget
Copy the dependencies file to the working directory
COPY requirements.txt .
Install dependencies
RUN pip install -r requirements.txt
Trying to install the chrome driver
RUN wget -O /tmp/chromedriver.zip https://chromedriver.storage.googleapis.com/88.0.4324.96/chromedriver_mac64.zip
Why are you using chrome driver for mac distribution in ubuntu container ? I am not sure of what's beneath it, but I guess there might be some issues due to os type.(Not sure)
You can try adding the ubuntu distribution as shown below, it should work.
RUN wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub | sudo apt-key add - \
sudo sh -c 'echo "deb https://dl.google.com/linux/chrome/deb/ stable main" >> /etc/apt/sources.list.d/google.list' \
sudo apt-get -y update \
sudo apt-get -y install google-chrome-stable
RUN sudo apt-get -y install chromium-chromedriver
I would like to compile / configure Caffe so that when I trained an artificial neural network with it, the training is multi-threaded (CPU only, no GPU). How to enable multithreading with Caffe? I use Caffe on Ubuntu 14.04 LTS x64.
One way is to use OpenBLAS instead of the default ATLAS. To do so,
sudo apt-get install -y libopenblas-dev
Before compiling Caffe, edit Makefile.config, replace BLAS := atlas by BLAS := open
After compiling Caffe, running export OPENBLAS_NUM_THREADS=4 will cause Caffe to use 4 cores.
If interested, here is a script to install Caffe and pycaffe on a new Ubuntu 14.04 LTS x64 or Ubuntu 14.10 x64. CPU only, multi-threaded Caffe. It can probably be improved, but it's good enough for me for now:
# This script installs Caffe and pycaffe on Ubuntu 14.04 x64 or 14.10 x64. CPU only, multi-threaded Caffe.
# Usage:
# 0. Set up here how many cores you want to use during the installation:
# By default Caffe will use all these cores.
NUMBER_OF_CORES=4
# 1. Execute this script, e.g. "bash compile_caffe_ubuntu_14.04.sh" (~30 to 60 minutes on a new Ubuntu).
# 2. Open a new shell (or run "source ~/.bash_profile"). You're done. You can try
# running "import caffe" from the Python interpreter to test.
#http://caffe.berkeleyvision.org/install_apt.html : (general install info: http://caffe.berkeleyvision.org/installation.html)
cd
sudo apt-get update
#sudo apt-get upgrade -y # If you are OK getting prompted
sudo DEBIAN_FRONTEND=noninteractive apt-get upgrade -y -q -o Dpkg::Options::="--force-confdef" -o Dpkg::Options::="--force-confold" # If you are OK with all defaults
sudo apt-get install -y libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev
sudo apt-get install -y --no-install-recommends libboost-all-dev
sudo apt-get install -y libatlas-base-dev
sudo apt-get install -y python-dev
sudo apt-get install -y python-pip git
# For Ubuntu 14.04
sudo apt-get install -y libgflags-dev libgoogle-glog-dev liblmdb-dev protobuf-compiler
# LMDB
# https://github.com/BVLC/caffe/issues/2729: Temporarily broken link to the LMDB repository #2729
#git clone https://gitorious.org/mdb/mdb.git
#cd mdb/libraries/liblmdb
#make && make install
git clone https://github.com/LMDB/lmdb.git
cd lmdb/libraries/liblmdb
sudo make
sudo make install
# More pre-requisites
sudo apt-get install -y cmake unzip doxygen
sudo apt-get install -y protobuf-compiler
sudo apt-get install -y libffi-dev python-dev build-essential
sudo pip install lmdb
sudo pip install numpy
sudo apt-get install -y python-numpy
sudo apt-get install -y gfortran # required by scipy
sudo pip install scipy # required by scikit-image
sudo apt-get install -y python-scipy # in case pip failed
sudo apt-get install -y python-nose
sudo pip install scikit-image # to fix https://github.com/BVLC/caffe/issues/50
# Get caffe (http://caffe.berkeleyvision.org/installation.html#compilation)
cd
mkdir caffe
cd caffe
wget https://github.com/BVLC/caffe/archive/master.zip
unzip -o master.zip
cd caffe-master
# Prepare Python binding (pycaffe)
cd python
for req in $(cat requirements.txt); do sudo pip install $req; done
echo "export PYTHONPATH=$(pwd):$PYTHONPATH " >> ~/.bash_profile # to be able to call "import caffe" from Python after reboot
source ~/.bash_profile # Update shell
cd ..
# Compile caffe and pycaffe
cp Makefile.config.example Makefile.config
sed -i '8s/.*/CPU_ONLY := 1/' Makefile.config # Line 8: CPU only
sudo apt-get install -y libopenblas-dev
sed -i '33s/.*/BLAS := open/' Makefile.config # Line 33: to use OpenBLAS
# Note that if one day the Makefile.config changes and these line numbers change, we're screwed
# Maybe it would be best to simply append those changes at the end of Makefile.config
echo "export OPENBLAS_NUM_THREADS=($NUMBER_OF_CORES)" >> ~/.bash_profile
mkdir build
cd build
cmake ..
cd ..
make all -j$NUMBER_OF_CORES # 4 is the number of parallel threads for compilation: typically equal to number of physical cores
make pycaffe -j$NUMBER_OF_CORES
make test
make runtest
#make matcaffe
make distribute
# Bonus for other work with pycaffe
sudo pip install pydot
sudo apt-get install -y graphviz
sudo pip install scikit-learn
# At the end, you need to run "source ~/.bash_profile" manually or start a new shell to be able to do 'python import caffe',
# because one cannot source in a bash script. (http://stackoverflow.com/questions/16011245/source-files-in-a-bash-script)
I have placed this script on GitHub: https://github.com/Franck-Dernoncourt/caffe_demos/tree/master/caffe_installation .
This is to just extend Franck's answer where he used sed to modify the config file. If you are having problems with that, here is another way to get the same thing done.
The difference is that instead of changing the config file you directly change the camke flag cmake -DCPU_ONLY=1 -DBLAS=open ..
$sudo apt update && sudo apt-get install -y libopenblas-dev
$git clone -b 1.0 --depth 1 https://github.com/BVLC/caffe.git . && \
pip install --upgrade pip && \
cd python && pip install -r requirements.txt && cd .. && \
mkdir build && cd build && \
cmake -DCPU_ONLY=1 -DBLAS=open .. && \
make -j"$(nproc)"
While building caffe, you have to add the -fopenmp to the CXXFLAGS and LINKFLAGS to support OPENMP. If you have a flag named OPENMP in the Makefil.config, you can simply set that to 1. You can use either OPENBLAS or Intel MKL BLAS library. While building the OPENBLAS you need to set USE_OPENMP=1 flag so that it supports OPENMP. After building caffe, please export the number of threads you want to use during runtime by setting up OMP_NUM_THREADS=n where n is the number of threads you want. Here is a good discussion related to multi-threading in Caffe: https://github.com/BVLC/caffe/pull/439