6805be9179b0dde701296a7ed69feea1b26a3a48,pytorch_translate/dual_learning/dual_learning_criterion.py,UnsupervisedCriterion,forward,#UnsupervisedCriterion#Any#Any#Any#Any#Any#Any#Any#Any#Any#,67

Before Change

            tgt_hypo = self._maybe_reverse_source(tgt_hypo_processed)

            // use bleu score as reward
            scorer = bleu.Scorer(src_dict.pad(), src_dict.eos(), src_dict.unk())
            assert len(src_hypos) == 1
            src_hypo = src_hypos[0]["tokens"][:-1]
            scorer.add(src.int().cpu(), src_hypo.int().cpu())
            backward_reward = (

After Change

            tgt_hypo = self._maybe_reverse_source(tgt_hypo_processed)

            // use bleu score as reward
            scorer = bleu.Scorer(
                bleu.BleuConfig(
                    pad=src_dict.pad(),
                    eos=src_dict.eos(),
                    unk=src_dict.unk(),
                )
            )
            assert len(src_hypos) == 1
            src_hypo = src_hypos[0]["tokens"][:-1]
            scorer.add(src.int().cpu(), src_hypo.int().cpu())
            backward_reward = (

Instances