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:

Quick start with Docker Repo
Conda Installation
Pip Installation
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 Miniconda or get the full installation with Anaconda.

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