df7332c3ba49e782f14414639e537f37a19133a8,catalyst/utils/plotly.py,,get_tensorboard_scalars,#Any#Any#Any#,18

Before Change

def get_tensorboard_scalars(
    logdir: Union[str, Path], metrics: Optional[List[str]], step: str
) -> Dict[str, List]:
    event_acc = EventAccumulator(str(logdir))
    event_acc.Reload()

    if metrics is not None:
        scalar_names = [
            n for n in event_acc.Tags()["scalars"]
            if step in n and any(m in n for m in metrics)
        ]
    else:
        scalar_names = [n for n in event_acc.Tags()["scalars"] if step in n]

    scalars = {sn: event_acc.Scalars(sn) for sn in scalar_names}
    return scalars


def get_scatter(scalars: List[ScalarEvent], name: str) -> go.Scatter:

After Change

def get_tensorboard_scalars(
    logdir: Union[str, Path], metrics: Optional[List[str]], step: str
) -> Dict[str, List]:
    summary_reader = SummaryReader(logdir, type_filter="scalar")

    items = defaultdict(list)
    for item in summary_reader:
        if step in item.tag and (metrics is None or any(m in item.tag for m in metrics)):
            items[item.tag].append(item.value)
    return items


def get_scatter(scalars: List[SummaryItem], name: str) -> go.Scatter:

Instances