superAE Illegal division by zero at data/script/ROUGE-1.5.5.pl line 2450

 您好，我使用的是lcsts2.0数据集，根据前面issue里面提到的将数据集里的文本和摘要分别放入src以及tgt文件中，但在运行rouge的时候报错，查阅其他资料好像是因为采用中文字符的原因？ 但本篇文章就是训练的中文摘要啊？ 
  此外，candidate文件夹里每个文件都是<unk>，不知道这是正常的，还是因为我哪个步骤做错了？

log如下： /mnt/extend_sdb/workspace/superAE/superAE/models/attention.py:32: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. weights = self.softmax(weights) # batch * time /mnt/extend_sdb/workspace/superAE/superAE/models/loss.py:190: UserWarning: self and other not broadcastable, but have the same number of elements. Falling back to deprecated pointwise behavior. num_correct = pred.data.eq(targets.data).masked_select(targets.ne(dict.PAD).data).sum() /mnt/extend_sdb/workspace/superAE/superAE/models/loss.py:190: UserWarning: self and mask not broadcastable, but have the same number of elements. Falling back to deprecated pointwise behavior. num_correct = pred.data.eq(targets.data).masked_select(targets.ne(dict.PAD).data).sum() [======================================== 10000/10000 ================================>] Step: 3s712ms | Tot: 6h2m
epoch: 1, ppl: 1.006, time: 21772.570, updates: 10000, accuracy: 95.07 evaluating after 10000 updates... /mnt/extend_sdb/workspace/superAE/superAE/models/seq2seq.py:169: UserWarning: Implicit dimension choice for log_softmax has been deprecated. Change the call to include dim=X as an argument. output = unbottle(self.log_softmax(output)) Illegal division by zero at data/script/ROUGE-1.5.5.pl line 2450........................] Step: 410ms | Tot: 0ms
F_measure: [0.0, 0.0, 0.0] Recall: [0.0, 0.0, 0.0] Precision: [0.0, 0.0, 0.0]

运行环境： python 3.5 pytorch0.3.1 cuda9.0