def METHOD_NAME(
    self, scores: Tensor, indices: Tensor
) -> List[OutputScore]:
    pred_scores: List[OutputScore] = []
    if indices.nelement() < 2:
        return pred_scores
    for i in range(len(indices)):
        score = scores[i]
        pred_scores.append(
            OutputScore(score, indices[i], self.classes[int(indices[i])])
        )
    return pred_scores