Docker images

Build images from Dockerfiles

You can build it on your own, note it takes lots of time, be prepared.

# build with specific arguments
docker image build -t lightning:ubuntu-cuda-py3.10-cuda12.1.1 -f dockers/ubuntu-cuda/Dockerfile --build-arg "CUDA_VERSION=12.1.1" .

To run your docker use

docker image list
docker run --rm -it pytorch-lightning:ubuntu-cuda-py3.10-cuda11.7.0 bash

Run docker image with GPUs

To run docker image with access to your GPUs, you need to install

# Add the package repositories
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

sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit
sudo systemctl restart docker

and later run the docker image with --gpus=all. For example,

docker run --rm -it --gpus=all pytorchlightning/lightning:ubuntu-cuda-py3.10-cuda12.1.0