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rapidsai/docker

This repository contains the end-user docker images for RAPIDS.

Image types

There are two image types: base (rapidsai/base) and notebooks (rapidsai/notebooks).

Base image

This image can be found here: https://hub.docker.com/r/rapidsai/base

It contains the basic installation of RAPIDS. By default it starts an ipython REPL.

Notebooks image

This image can be found here: https://hub.docker.com/r/rapidsai/notebooks

It extends the base images to include RAPIDS notebooks and a jupyterlab server which starts automatically.

Image tags

Tags for both base and notebooks images take the form of ${RAPIDS_VER}-cuda${CUDA_VER}-py${PYTHON_VER}.

There is no latest tag.

Environment Variables

The following environment variables can be passed to the docker run commands for each image:

  • EXTRA_CONDA_PACKAGES - used to install additional conda packages in the container. Use a space separated list of conda version specs
  • CONDA_TIMEOUT - how long (in seconds) the conda install should wait before exiting
  • EXTRA_PIP_PACKAGES - used to install additional pip packages in the container. Use a space separated list of pip version specs
  • PIP_TIMEOUT - how long (in seconds) the pip install should wait before exiting
  • UNQUOTE - Whether the command line args to docker run should be executed with or without being quoted. Default to false and it is unlikely that you need to change this.

Bind Mounts

Mounting files/folders to the locations specified below provide additional functionality for the images.

  • /home/rapids/environment.yml - a conda YAML environment file that contains a list of dependencies that will be installed. The file should look like:
dependencies:
  - beautifulsoup4
  - jq

Contributing

Please see CONTRIBUTING.md for details on how to contribute to this repo.