class_docstr: Callback that prints metrics to stdout.
  
  Args:
      count_mode: One of `"steps"` or `"samples"`.
          Whether the progress bar should
          count samples seen or steps (batches) seen.
  
  Raises:
      ValueError: In case of invalid `count_mode`.
code: def on_test_batch_end(self, batch, logs=None):
      if not self._called_in_fit:
          self._update_progbar(batch, logs)
  
imports: from keras.api_export import keras_export
  from keras.callbacks.callback import Callback
  from keras.utils import io_utils
  from keras.utils.progbar import Progbar
label_desc: Use image node_id 8 for calling the ProgbarLogger obj's underlying member method code with example usage: obj.on_test_batch_end(batch, logs) without return types