feature tensor dimension for Multi-scale set abstraction module

[abahnasy]

Hi, I'm wondering why is the order of dimensions is different in forward funtion of _PointnetSAModuleBase and grouper function QueryAndGroup? the earlier takes a vector dimension of [B,N,C] code ref and pass it to the later function while the later expects [B,C,N] code ref

here the features tensor is passed without adjusting the dimensions? code ref