    def ordered_indices(self):
        """
        Returns indices sorted by length. So less padding is needed.
        """
        if len(self.datasets) == 1:
            return [self.datasets[0].ordered_indices()]
        indices_group = []
        for d_idx, ds in enumerate(self.datasets):
            sample_num = self.cumulative_sizes[d_idx]
            if d_idx > 0:
                sample_num = sample_num - self.cumulative_sizes[d_idx - 1]
            assert sample_num == len(ds)
            indices_group.append(ds.ordered_indices())
        return indices_group
Returns indices sorted by length. So less padding is needed.
fairseq/data/audio/multi_modality_dataset.py