code: 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 : batch x decoder_steps x encoder_steps
      """
      maxs = alignments.max(dim=1)[0]
      if binary:
          maxs[maxs > 0] = 1
      return maxs.mean(dim=1).mean(dim=0).item()
  
label_desc: Use image node_id 1 for calling a global function with example usage: alignment_diagonal_score(alignments, binary) and returns: maxs