Batmobile: 10-20x Faster CUDA Kernels for Equivariant Graph Neural Networks
https://elliotarledge.com/blog/batmobile
#HackerNews #Batmobile #Equivariant #Graph #Neural #Networks #CUDA #Kernels #MachineLearning #AI
Batmobile: 10-20x Faster CUDA Kernels for Equivariant Graph Neural Networks
https://elliotarledge.com/blog/batmobile
#HackerNews #Batmobile #Equivariant #Graph #Neural #Networks #CUDA #Kernels #MachineLearning #AI
3/ Our approach is similar: the #equivariant #PointCloud layer (aka EPiC layer ๐) does exactly that; but with the extra twist that we also have global attributes that exchange information with the points. This turned out to be crucial!
These EPiC layers can then be combined into a standard #GAN architecture (in fact we use LSGAN, 1611.04076) and trained the usual way