In order to predict multiple time steps ahead for the training/validation/testing where you already have access to the future intermediate representations you simply combine the prediction at the previous time step with the next incoming intermediate representation and use this as the next time step's input. But how do you predict multiple time steps ahead live at inference time when you don't have access to the future intermediate representations? I couldn't see any code for this in the repo.
In order to predict multiple time steps ahead for the training/validation/testing where you already have access to the future intermediate representations you simply combine the prediction at the previous time step with the next incoming intermediate representation and use this as the next time step's input. But how do you predict multiple time steps ahead live at inference time when you don't have access to the future intermediate representations? I couldn't see any code for this in the repo.