GRU input as matrix

1

Hi,
I am using GRU model for many to one prediction.
My input is represented at each time step as vector with length N, while using one feature, dim: (N, 1), The model is working as expected with dimension of (BATCH_SIZE, SEQ_LEN, N).
I want to add new feature for each point in the N rows, dimension: (N, 2), which will change the input dim to: (BATCH_SIZE, SEQ_LEN, N, 2) -How can I feed it to the GRU model? The model expected to (BATCH_SIZE, SEQ_LEN, N), however, if I use 2*N it won’t be good by the problem’s logical.

Thanks

2

If you have some additional input structure, it is best to learn some fixed size 1d “summaries” before RNN, as none of standard implementations supports input groups or structures beyond vectors.