Installation

Dependencies

• Sacred
• pymongo
• Pytorch

Library installation

We provide two intallation modes, one that rely only on the pytorch-geometric packqge and the other that uses our c++ libraries for k-nearest neighbor search and quantized sampling. The later is faster on our computers.

Installation with compilation of our knn libraries

This is the default installation procedure, and the one used in the FKAConv paper.

pip install -ve /path/to/LightConvPoint/

Installation without compilation

We also provide a version that rely only on pytorch geometric. However, this version is slower and comes with no performance guaranty.

pip install -ve /path/to/LightConvPoint/ --install-option="--nocompile"