install_docker_nvidia ubuntu 20.04

install_docker_nvidia.sh

# !/bin/bash
# Installation instructions from https://docs.docker.com/engine/install/ubuntu/
# Update the apt package index and install packages to allow apt to use a repository over HTTPS:
sudo apt update
sudo apt install -y apt-transport-https ca-certificates curl gnupg-agent software-properties-common
# Add Docker’s official GPG key
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
# Use the following command to set up the stable repository
sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
# INSTALL DOCKER ENGINE
sudo apt-get update
sudo apt-get install -y docker-ce docker-ce-cli containerd.io


# Install Docker with NVIDIA support 
# Docker-CE on Ubuntu can be installed using Docker's official convenience script:
curl https://get.docker.com | sh && sudo systemctl --now enable docker

# Setting up NVIDIA Container Toolkit
# Setup the stable repository and the GPG key:
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
    && curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - \
    && curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list

# Install the nvidia-docker2 package (and dependencies) after updating the package listing:
sudo apt-get update
sudo apt-get install -y nvidia-docker2

# Restart the Docker daemon to complete the installation after setting the default runtime:
sudo systemctl restart docker

# At this point, a working setup can be tested by running a base CUDA container:
sudo docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi