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[FEA][NV] Move nvgraph repo in cugraph repo #33
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[REVIEW] Added ability to call cuML with numpy arrays and general test cleaning
Open sourcing now would reduce the deployment overhead and remove an unnecessary complexity layer in cugraph. Currently, nvgraph has to be updated on anaconda.com each time something change which is a source of bugs and slows down development. |
I was able to move nvgraph in cugraph repo and successfully completed the subtasks above. Nvgraph is automatically built with cugrph but can also be built as a stand-alone. It still takes at least 1 minute to build after optimizations. This works locally but Jenkins returns errors inside cub currently |
closed by #194 |
Forked branch-0.16 updated from Release branch-0.16
This task will result in open sourcing nvGraph. NvGraph contains the core CUDA code for Jaccard, Louvain, BFS, SSSP and more.
The goal is to open source all at once to facilitate the integration and minimize the refactoring effort.
Before moving nvGraph repo here, the following tasks must be done in nvGraph:
Then :
nvgraph_st
intonvgraph_rapids
Important improvement
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