Lscript Docker

Overview

1. Install nvidia-driver
2. Install docker (community edition), docker-compose (optional) and nvidia-docker-toolkit on the host machine.
3. Build Nvidia CUDA Docker Images
4. CI/CD

Installation

This is for advance usage providing granular control on specific software component that is to be installed.

1. Install Nvidia driver

    lsd-install.nvidia-driver
   

2. Install docker, docker-compose

    lsd-install.docker-ce
    lsd-install.docker-compose
   

3. Install Nvidia container toolkit

    lsd-install.nvidia-container-toolkit
   

Build Nvidia CUDA Docker Images

Only for Nvidia GPU

If looking to use GPU docker containers and have Nvidia Graphics card, multiple CUDA stack can be installed and used in parallel using Nvidia GPU docker containers.

These provides complete development stack for deep learning docker environments. Any AI frameworks can be added on top of it and currently provides pre-configuration for Pytorch, Keras and Tensorflow AI frameworks.

• Pre-requites
  • Nvidia Driver
  • Docker
  • Nvidia runtime (or nvidia container toolkit which comes with the runtime)
• Build CUDA 10.0 Nvidia image

    ## create the external directory, inside this clone the official nividia container file repo
    mkdir -p external
    cd external
    git clone https://gitlab.com/nvidia/container-images/cuda.git
    ##
    printf "y" | bash docker-buildimg-cuda.sh 10.0
  

• Python dependencies for specific CUDA versions

    pip install -U -r lscripts/config/ubuntu18.04/python.requirements-ai-cuda-9.0.txt
    pip install -U -r lscripts/config/ubuntu18.04/python.requirements-ai-cuda-10.0.txt
    pip install -U -r lscripts/config/ubuntu18.04/python.requirements-ai-cuda-10.2.txt
    #
    pip install -U -r lscripts/config/ubuntu18.04/python.requirements-ai-cuda-11.0.txt
  

• Docker container tips
  • Re-start host docker service if Internet access is not there inside container;

      sudo service docker stop
      sudo service docker start
      #
      bash start.bzohub-170820_051654.sh
      #
      docker exec -u $(id -u):$(id -g) -it c1c80473e63c /bin/bash && xhost -local:root 1>/dev/null 2>&1
      docker exec -u $(id -u):$(id -g) -it bzohub-170820_051654 /bin/bash && xhost -local:root 1>/dev/null 2>&1
    

lsd-docker Commands

• Quick Commands:

    lsd-docker.osvers
    #
    lsd-docker.cfg
    lsd-docker.container.delete-all
    lsd-docker.container.delete-byimage
    lsd-docker.container.exec-byname
    lsd-docker.container.list
    lsd-docker.container.list-ids
    lsd-docker.container.list-ids-all
    lsd-docker.container.status
    lsd-docker.container.stop-all
    lsd-docker.container.test