From 4874a2201f221d51946e93c2eaa4f2f38319dcf9 Mon Sep 17 00:00:00 2001 From: Ralph Liu Date: Thu, 14 Nov 2024 10:05:48 -0800 Subject: [PATCH 1/2] Update urls --- docs/cugraph/source/nx_cugraph/benchmarks.md | 4 ++-- docs/cugraph/source/nx_cugraph/how-it-works.md | 2 +- docs/cugraph/source/nx_cugraph/index.rst | 2 +- docs/cugraph/source/nx_cugraph/supported-algorithms.rst | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/cugraph/source/nx_cugraph/benchmarks.md b/docs/cugraph/source/nx_cugraph/benchmarks.md index 45085c133a9..9e0718159fa 100644 --- a/docs/cugraph/source/nx_cugraph/benchmarks.md +++ b/docs/cugraph/source/nx_cugraph/benchmarks.md @@ -9,7 +9,7 @@ We ran several commonly used graph algorithms on both `networkx` and `nx-cugraph ![bench-image](../_static/bc_benchmark.png)
Results from running this BenchmarkBenchmark
@@ -23,4 +23,4 @@ Below are the steps to reproduce the results on your own. 4. Install the latest `nx-cugraph` by following the [Installation Guide](installation.md) -5. Follow the instructions written in the README [here](https://github.com/rapidsai/cugraph/blob/HEAD/benchmarks/nx-cugraph/pytest-based) +5. Follow the instructions written in the README [here](https://github.com/rapidsai/nx-cugraph/blob/HEAD/benchmarks/nx-cugraph/pytest-based/README.md) diff --git a/docs/cugraph/source/nx_cugraph/how-it-works.md b/docs/cugraph/source/nx_cugraph/how-it-works.md index 5696688d1b5..88788f3c0cc 100644 --- a/docs/cugraph/source/nx_cugraph/how-it-works.md +++ b/docs/cugraph/source/nx_cugraph/how-it-works.md @@ -110,4 +110,4 @@ This run will be much faster, typically around 5 seconds depending on your GPU. --- -The latest list of algorithms supported by `nx-cugraph` can be found in [GitHub](https://github.com/rapidsai/cugraph/blob/HEAD/python/nx-cugraph/README.md#algorithms), or in the [Supported Algorithms Section](supported-algorithms.md). +The latest list of algorithms supported by `nx-cugraph` can be found in [GitHub](https://github.com/rapidsai/nx-cugraph/blob/HEAD/README.md#supported-algorithms), or in the [Supported Algorithms Section](supported-algorithms.md). diff --git a/docs/cugraph/source/nx_cugraph/index.rst b/docs/cugraph/source/nx_cugraph/index.rst index 730958a5b73..1b851f968a3 100644 --- a/docs/cugraph/source/nx_cugraph/index.rst +++ b/docs/cugraph/source/nx_cugraph/index.rst @@ -3,7 +3,7 @@ nx-cugraph ``nx-cugraph`` is a NetworkX backend that provides **GPU acceleration** to many popular NetworkX algorithms. -By simply `installing and enabling nx-cugraph `_, users can see significant speedup on workflows where performance is hindered by the default NetworkX implementation. +By simply `installing and enabling nx-cugraph `_, users can see significant speedup on workflows where performance is hindered by the default NetworkX implementation. Users can have GPU-based, large-scale performance **without** changing their familiar and easy-to-use NetworkX code. diff --git a/docs/cugraph/source/nx_cugraph/supported-algorithms.rst b/docs/cugraph/source/nx_cugraph/supported-algorithms.rst index 8f57c02b240..ae32bc330fe 100644 --- a/docs/cugraph/source/nx_cugraph/supported-algorithms.rst +++ b/docs/cugraph/source/nx_cugraph/supported-algorithms.rst @@ -352,4 +352,4 @@ Generators To request nx-cugraph backend support for a NetworkX API that is not listed -above, visit the `cuGraph GitHub repo `_. +above, visit the `nx-cugraph GitHub repo `_. From bba4374904b73d622de2acfc1733915230eb370e Mon Sep 17 00:00:00 2001 From: Ralph Liu <137829296+nv-rliu@users.noreply.github.com> Date: Mon, 18 Nov 2024 11:04:31 -0500 Subject: [PATCH 2/2] Update docs/cugraph/source/nx_cugraph/index.rst Co-authored-by: Erik Welch --- docs/cugraph/source/nx_cugraph/index.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/cugraph/source/nx_cugraph/index.rst b/docs/cugraph/source/nx_cugraph/index.rst index 1b851f968a3..50565c805a9 100644 --- a/docs/cugraph/source/nx_cugraph/index.rst +++ b/docs/cugraph/source/nx_cugraph/index.rst @@ -3,7 +3,7 @@ nx-cugraph ``nx-cugraph`` is a NetworkX backend that provides **GPU acceleration** to many popular NetworkX algorithms. -By simply `installing and enabling nx-cugraph `_, users can see significant speedup on workflows where performance is hindered by the default NetworkX implementation. +By simply `installing and enabling nx-cugraph `_, users can see significant speedup on workflows where performance is hindered by the default NetworkX implementation. Users can have GPU-based, large-scale performance **without** changing their familiar and easy-to-use NetworkX code.