enabled by calling `tf.debugging.is_traceback_filtering_enabled()`.

    Note that this feature is only available with Python 3.7 or higher.

    *   Improve the informativeness of error messages raised by Keras
        `Layer.__call__()`, by adding the full list of argument values passed to
        the layer in every exception.

*   Introduce the `tf.compat.v1.keras.utils.track_tf1_style_variables`

``` python
a = tf.Variable(1.0)
tf.debugging.check_numerics(a, message='')

b = tf.Variable(np.nan)
try:
  tf.debugging.check_numerics(b, message='Checking b')
except Exception as e:
  assert "Checking b : Tensor had NaN values" in e.message

c = tf.Variable(np.inf)
try:
  tf.debugging.check_numerics(c, message='Checking c')
except Exception as e: