| def alignment_diagonal_score(alignments, binary=False): | |
| """ | |
| Compute how diagonal alignment predictions are. It is useful | |
| to measure the alignment consistency of a model | |
| Args: | |
| alignments (torch.Tensor): batch of alignments. | |
| binary (bool): if True, ignore scores and consider attention | |
| as a binary mask. | |
| Shape: | |
| - alignments : :math:`[B, T_de, T_en]` | |
| """ | |
| maxs = alignments.max(dim=1)[0] | |
| if binary: | |
| maxs[maxs > 0] = 1 | |
| return maxs.mean(dim=1).mean(dim=0).item() | |