class_docstr: TQDM Progress Bar for Tensorflow Keras.
  
  Args:
      metrics_separator: Custom separator between metrics.
          Defaults to ' - '.
      overall_bar_format: Custom bar format for overall
          (outer) progress bar, see https://github.com/tqdm/tqdm#parameters
          for more detail.
      epoch_bar_format: Custom bar format for epoch
          (inner) progress bar, see https://github.com/tqdm/tqdm#parameters
          for more detail.
      update_per_second: Maximum number of updates in the epochs bar
          per second, this is to prevent small batches from slowing down
          training. Defaults to 10.
      metrics_format: Custom format for how metrics are formatted.
          See https://github.com/tqdm/tqdm#parameters for more detail.
      leave_epoch_progress: `True` to leave epoch progress bars.
      leave_overall_progress: `True` to leave overall progress bar.
      show_epoch_progress: `False` to hide epoch progress bars.
      show_overall_progress: `False` to hide overall progress bar.
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code: def on_batch_end(self, batch, logs={}):
      self._update_progbar(logs)
  
imports: import time
  import tensorflow
  from collections import defaultdict
  from typeguard import typechecked
  from tensorflow.keras.callbacks import Callback
label_desc: Use image node_id 12 for calling the TQDMProgressBar obj's underlying member method code with example usage: obj.on_batch_end(batch, logs) without return types