def log_scalar(
    key: str,
    value: float,
    weight: float = 1,
    priority: int = 10,
    round: Optional[int] = None,
):
    """Log a scalar value.

    Args:
        key (str): name of the field to log
        value (float): value to log
        weight (float): weight that this value contributes to the average.
            A weight of 0 will always log the latest value.
        priority (int): smaller values are logged earlier in the output
        round (Optional[int]): number of digits to round to when displaying
    """
    for agg in get_active_aggregators():
        if key not in agg:
            agg.add_meter(key, AverageMeter(round=round), priority)
        agg[key].update(value, weight)
Log a scalar value.

    Args:
        key (str): name of the field to log
        value (float): value to log
        weight (float): weight that this value contributes to the average.
            A weight of 0 will always log the latest value.
        priority (int): smaller values are logged earlier in the output
        round (Optional[int]): number of digits to round to when displaying
    
edgelm/fairseq/logging/metrics.py