progress bar with tqdm

tqdm object 생성.

train_progress = tqdm.tqdm(iterable=data_train
           , bar_format="{l_bar}{bar:25}{r_bar}"
           , colour="magenta"
           , total=len(data_train)
           , leave=True)

leave option

If [default: True], keeps all traces of the progressbar upon termination of iteration. If None, will leave only if position is 0.

leave=[True/False]

True 일 경우 iteration 이 한 번 끝날 때마다, 모든 추적을 유지하는데 False 일 경우 iteration 이 한 번 끝나면, 사라지게 된다. None 이면 position 은 0.

bar_format option

Specify a custom bar string formatting. May impact performance.

"{l_bar}{bar:25}{r_bar}"

# update progress bar
train_progress.set_description(f"train [{epoch + 1}/{_epoch}]")
str_train_loss= '{:.3f}'.format(round(trainLoss.item(), 3))
str_train_metric= '{:.3f}'.format(round(trainAccuracy, 3))
train_progress.set_postfix(loss=str_train_loss, acc=str_train_metric)

set_description option

set_postfix(loss=trainLoss, acc=trainAccuracy)

set_postfix option

set_postfix(loss=trainLoss, acc=trainAccuracy)

Set/modify postfix (additional stats) with automatic formatting based on datatype.