c9a7c06bb971f3a789c94c10eff32f0bdec89741,fairseq/trainer.py,Trainer,train_step,#Trainer#Any#Any#Any#,283

Before Change

            logging_output = self.task.aggregate_logging_outputs(
                logging_outputs, self.get_criterion()
            )
            sample_size = self.task.grad_denom(sample_sizes, self.get_criterion())

        if not all(k in logging_output for k in ["ntokens", "nsentences"]):
            raise Exception(
                (

After Change

            logging_output = self.task.aggregate_logging_outputs(
                logging_outputs, self.get_criterion()
            )
            sample_size = sum(sample_sizes)

        if not all(k in logging_output for k in ["ntokens", "nsentences"]):
            raise Exception(
                (

Instances