tf.keras.utils.Progbar

Displays a progress bar.

tf.keras.utils.Progbar(
    target,
    width=20,
    verbose=1,
    interval=0.05,
    stateful_metrics=None,
    stateless_metrics=None,
    unit_name='step'
)

Used in the notebooks

Used in the tutorials
Distributed training with DTensors Using DTensors with Keras

If neither of stateful_metrics and stateless_metrics is provided, all metrics are assumed to be stateless (averaged by the progress bar before display).

Args
target	Total number of steps expected, None if unknown.
width	Progress bar width on screen.
verbose	Verbosity mode, 0 (silent), 1 (verbose), 2 (semi-verbose)
stateful_metrics	Iterable of string names of metrics that should not be averaged over time. Metrics in this list will be displayed as-is. If provided, do not provide stateless_metrics.
stateless_metrics	Iterable of string names of metrics that should be averaged over time. Metrics in this list will be averaged by the progbar before display. If provided, do not provide stateful_metrics.
interval	Minimum visual progress update interval (in seconds).
unit_name	Display name for step counts (usually "step" or "sample").

Methods

add

View source

add(
    n, values=None
)

update

View source

update(
    current, values=None, finalize=None
)

Updates the progress bar.

Args
current	Index of current step.
values	List of tuples: (name, value_for_last_step). If name is in stateful_metrics, value_for_last_step will be displayed as-is. Else, an average of the metric over time will be displayed.
finalize	Whether this is the last update for the progress bar. If None, defaults to current >= self.target.