def METHOD_NAME(logging_outputs) -> None:
    """Aggregate logging outputs from data parallel training."""
    loss_sum = utils.item(sum(log.get("loss", 0) for log in logging_outputs))
    sample_size = utils.item(
        sum(log.get("sample_size", 0) for log in logging_outputs)
    )
    loss = loss_sum / sample_size / math.log(2)
    metrics.log_scalar("loss", loss, sample_size, round=3)