tf.keras.utils.Progbar

Displays a progress bar.

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

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

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. All others will be averaged by the progbar before display.
`interval`	Minimum visual progress update interval (in seconds).
`unit_name`	Display name for step counts (usually "step" or "sample").

Methods

add(
    n, values=None
)

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`.