b03b53b426deaa8bdf6c93d91e424c5571acf7e5,fairseq/sequence_generator.py,SequenceGenerator,generate_batched_itr,#SequenceGenerator#Any#Any#Any#Any#Any#Any#Any#,52

Before Change

                    prefix_tokens=s["target"][:, :prefix_size] if prefix_size > 0 else None,
                )
            if timer is not None:
                timer.stop(s["ntokens"])
            for i, id in enumerate(s["id"].data):
                src = input["src_tokens"].data[i, :]
                // remove padding from ref
                ref = utils.strip_pad(s["target"].data[i, :], self.pad)

After Change

                    prefix_tokens=s["target"][:, :prefix_size] if prefix_size > 0 else None,
                )
            if timer is not None:
                timer.stop(sum([len(h[]["tokens"]) for h in hypos]))
            for i, id in enumerate(s["id"].data):
                src = input["src_tokens"].data[i, :]
                // remove padding from ref

Instances