(time)
| 3849 | processed_input = (_process_single_input_t(inputs),) |
| 3850 | |
| 3851 | def _get_input_tensor(time): |
| 3852 | inp = [t_[time] for t_ in processed_input] |
| 3853 | return nest.pack_sequence_as(inputs, inp) |
| 3854 | |
| 3855 | if mask is not None: |
| 3856 | mask_list = array_ops.unstack(mask) |