pyhf/cuda-images

pyhf Docker images built on Nvidia Container Toolkit enabled base images

pyhf NVIDIA CUDA enabled Docker images

pyhf Docker images built on the NVIDIA CUDA enabled images for runtime use with the the NVIDIA Container Toolkit.

These images are meant to be used as base images for bespoke user application images to build on.

Installation

• Make sure that you have the nvidia-container-toolkit installed on the host machine
• Check the list of available tags on Docker Hub to find the tag you want
• Use docker pull to pull down the image corresponding to the tag

Example:

docker pull pyhf/cuda:0.6.3-jax-cuda-11.1

Use

To check that NVIDIA GPUS are being properly detected run

docker run --rm --gpus all pyhf/cuda:0.6.3-jax-cuda-11.1 'nvidia-smi'

and check if the nvidia-smi output appears correctly.

To run (interactively) using GPUs on the host machine:

docker run --rm -ti --gpus all pyhf/cuda:0.6.3-jax-cuda-11.1

Tests

To verify things are working on your host machine you can run

docker run --rm --gpus all -v $PWD:$PWD -w $PWD pyhf/cuda:0.6.3-jax-cuda-11.1 'bash tests/test_backend.sh jax'