Docker Commands

Good Reference

https://blog.jayway.com/2015/03/21/a-not-very-short-introduction-to-docker/


Whats with Images and Containers


docker images

REPOSITORY                                               TAG                 IMAGE ID            CREATED             SIZE
nvidia-cuda-8                                            small               291c10e49fa1        18 hours ago        2.077 GB
nvidia-cuda-8                                            latest              2dd3d3d2a864        46 hours ago        2.077 GB
registry                                                 2                   047218491f8c        2 weeks ago         33.2 MB
nvidia/cuda                                              latest              1cce8839a2c5        3 weeks ago         1.622 GB
ubuntu                                                   16.04               0ef2e08ed3fa        3 weeks ago         130 MB

START a container

alex@alex-Lenovo-G400s-Touch:~$ docker run -ti ubuntu:16.04 bash
root@dfee57fd23d4:/# 

CONTAINER ID        IMAGE                            COMMAND                  CREATED             STATUS              PORTS                    NAMES
dfee57fd23d4        ubuntu:16.04                     bash"                   25 seconds ago      Up 24 seconds                                tiny_chandrasekhar


Modify a container

alex@alex-Lenovo-G400s-Touch:~$ docker run -ti ubuntu:16.04 bash
root@dfee57fd23d4:/# pwd
/
root@dfee57fd23d4:/# mkdir alex

Save Container a new image

root@dfee57fd23d4:/# alex@alex-Lenovo-G400s-Touch:~$ docker ps -l -q
dfee57fd23d4

alex@alex-Lenovo-G400s-Touch:~$ docker commit dfee57fd23d4  mytestubuntu:16.04 
sha256:9a3d7a486799514e6fdbc63792e4588459d4fde06991f6961e54b76238482695
alex@alex-Lenovo-G400s-Touch:~$ 

alex@alex-Lenovo-G400s-Touch:~$ docker images
REPOSITORY                                               TAG                 IMAGE ID            CREATED              SIZE
mytestubuntu                                             16.04               9a3d7a486799        About a minute ago   130 MB
nvidia-cuda-8                                            small               291c10e49fa1        18 hours ago        2.077 GB
nvidia-cuda-8                                            latest              2dd3d3d2a864        46 hours ago        2.077 GB
registry                                                 2                   047218491f8c        2 weeks ago         33.2 MB
nvidia/cuda                                              latest              1cce8839a2c5        3 weeks ago         1.622 GB
ubuntu                                                   16.04               0ef2e08ed3fa        3 weeks ago         130 MB


Docker Stop a Container

docker stop dfee57fd23d4

alex@alex-Lenovo-G400s-Touch:~$ docker diff dfee57fd23d4
A /alex
C /root
A /root/.bash_history


Docker Start and Check

alex@alex-Lenovo-G400s-Touch:~$ docker run -ti mytestubuntu:16.04 bash
root@e97976c736a1:/# ls
alex  bin  boot  dev  etc  home  lib  lib64  media  mnt  opt  proc  root  run  sbin  srv  sys  tmp  usr  var
r


Dokcer map a port

# Publish container port 80 on port 8080 on the localhost interface on the Host
$ docker run -p 127.0.0.1:8080:80 nginx
 
 
Docker map a device

 
docker --device /dev/nvidia0:/dev/nvidia0 --device /dev/nvidiactl:/dev/nvidiactl --device /dev/nvidia-uvm:/dev/nvidia-uvm nvidia-cuda-8
 
Docker Create a Image

Dockerfile

FROM ubuntu:16.04
MAINTAINER Taken from template from :Regan <http://stackoverflow.com/questions/25185405/using-gpu-from-a-docker-container>

RUN apt-get update && apt-get install -y build-essential && \
 apt-get --purge remove -y nvidia* && \
 apt-get install module-init-tools -y  

ADD nvidia-installers /tmp/nvidia     && \                        
# > Get the install files you used to install CUDA and the NVIDIA drivers on your host
RUN /tmp/nvidia/NVIDIA-Linux-x86_64-375.39.run -s -N --no-kernel-module  && \
# Install the driver.
RUN rm -rf /tmp/selfgz7 && \                                          
# For some reason the driver installer left temp files when used during a docker build (i don't have any explanation why) and the CUDA installer will fail if there still there so we delete them.
RUN /tmp/nvidia/cuda_8.0.61_375.26_linux.run -silent  && \
#  > CUDA driver installer.
# > Delete installer files.
RUN rm -rf /temp/*  
RUN export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64       
# Add CUDA library into your PATH
RUN touch /etc/ld.so.conf.d/cuda.conf                                     
# Update the ld.so.conf.d directory

RUN mkdir ~/object-detect-svc
#ADD file:///home/alex/Coding/NASProject/base_services/object-detect-svc/build/objectDetectTest ~/object-detect-svc/
# To run this you need to invoke like
#  --device /dev/nvidia0:/dev/nvidia0 --device /dev/nvidiactl:/dev/nvidiactl --device /dev/nvidia-uvm:/dev/nvidia-uvm
CMD nvidia-smi


Remember

Since every command in the Dockerfile creates a new layer it is often better to run similar commands together. Group the commands with and and split them over several lines for readability.