From bff581d22de206dce935adb7f76ff6d82cb30ceb Mon Sep 17 00:00:00 2001 From: Rick Ratzel Date: Wed, 27 Sep 2023 15:56:03 -0500 Subject: [PATCH] Updates the source build docs to include libcugraphops as a build prerequisite. --- docs/cugraph/source/installation/source_build.md | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/docs/cugraph/source/installation/source_build.md b/docs/cugraph/source/installation/source_build.md index 7782591f1ce..f5ee0741da6 100644 --- a/docs/cugraph/source/installation/source_build.md +++ b/docs/cugraph/source/installation/source_build.md @@ -6,10 +6,10 @@ The cuGraph package include both a C/C++ CUDA portion and a python portion. Bot ## Prerequisites -__Compiler__: -* `gcc` version 9.3+ -* `nvcc` version 11.0+ -* `cmake` version 3.20.1+ +__Compiler:__ +* `gcc` version 9.3+ +* `nvcc` version 11.0+ +* `cmake` version 3.20.1+ __CUDA:__ * CUDA 11.0+ @@ -18,6 +18,11 @@ __CUDA:__ You can obtain CUDA from [https://developer.nvidia.com/cuda-downloads](https://developer.nvidia.com/cuda-downloads). +__Packages:__ +* `cmake` version 3.20.1+ +* `libcugraphops` (version matching source branch version, eg. `23.10`) + +You can obtain `libcugraphops` using `conda`/`mamba` from the `nvidia` channel, or using `pip` with the `--extra-index-url=https://pypi.nvidia.com` option. See the [RAPIDS docs](https://docs.rapids.ai/install#environment) for more details. ## Building cuGraph To install cuGraph from source, ensure the dependencies are met.