ptrblck:


Input1: (L,N,Hin​) tensor containing input features where Hin=input_size and L represents a sequence length.



Hi,
I have L, and N. But, in my case, the features(H_in) are two dimensional. Do I have to flatten the features to be 1 dimensional?
Thanks