But in tasks like POS-tagging, the output field is sequential. I would provide
sequences: LongTensor(sequence_length, batch_size)
tags: LongTensor(sequence_length, batch_size)

to my model, if the target_field is not sequential, may be a sequence at one forward and batch inferencing would be a bit inconvenient. Or do you conventionally implement a a step at one forward model?