Getting the WholeGraph Packages#

Start by reading the RAPIDS Instalation guide and checkout the RAPIDS install selector for a pick list of install options.

There are 4 ways to get WholeGraph packages:

  1. Quick start with Docker Repo

  2. Conda Installation

  3. Pip Installation

  4. Build from Source


Docker#

The RAPIDS Docker containers (as of Release 23.10) contain all RAPIDS packages, including WholeGraph, as well as all required supporting packages. To download a container, please see the Docker Repository, choosing a tag based on the NVIDIA CUDA version you’re running. This provides a ready to run Docker container with example notebooks and data, showcasing how you can utilize all of the RAPIDS libraries.


Conda#

It is easy to install WholeGraph using conda. You can get a minimal conda installation with miniforge.

WholeGraph conda packages

  • libwholegraph

  • pylibwholegraph

Replace the package name in the example below to the one you want to install.

Install and update WholeGraph using the conda command:

conda install -c rapidsai -c conda-forge -c nvidia wholegraph cudatoolkit=11.8

PIP#

wholegraph, and all of RAPIDS, is available via pip.

pip install wholegraph-cu11 --extra-index-url=https://pypi.nvidia.com

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