Hi everyone
I think this problem is easy to solve but not sure which parameters in tensor2tensor to set in order to use float types as input. I guess it has something to do with Modalities and the Problem class or hyperparameters, but not sure.
So basically similar to translate problem I have input sequences of float: (batch_size, sequence_size, feature_size) and as output also a float sequences (sequence_size, 1)
Can anyone help hot to handle this case using tensor2tensor and transformer?
Thanks