Viterbi decode是否存在问题？

[tymanman]

for feat in feats:
    next_tag_var = (
         forward_var.view(1, -1).expand(self.tagset_size, self.tagset_size)
          + self.transitions
     )
      _, bptrs_t = torch.max(next_tag_var, dim=1)
     viterbivars_t = next_tag_var[range(len(bptrs_t)), bptrs_t]
      forward_var = viterbivars_t + feat
      backscores.append(forward_var)
      backpointers.append(bptrs_t)

这里为什么在加入当前step的emit score之前就max了，难道不应该把当前step的emit score和转移概率一起加上再取max吗