cfd2a3a048ca2d66d7c40d58f21179c8eb6c264c,fairseq/criterions/adaptive_loss.py,AdaptiveLoss,forward,#AdaptiveLoss#Any#Any#Any#,32

Before Change

        sample_size = sample["target"].size(0) if self.args.sentence_avg else sample["ntokens"]
        logging_output = {
            "loss": utils.item(loss.data) if reduce else loss.data,
            "ntokens": sample["ntokens"],
            "nsentences": sample["target"].size(0),
            "sample_size": sample_size,
        }

After Change

                                        reduce=reduce)

        orig = utils.strip_pad(orig_target, self.padding_idx)
        ntokens = orig.numel()
        sample_size = sample["target"].size(0) if self.args.sentence_avg else ntokens
        logging_output = {
            "loss": utils.item(loss.data) if reduce else loss.data,
            "ntokens": ntokens,

Instances