errors that it raises, to keep stack traces short, readable, and focused
        on what's actionable for end users (their own code).

    This behavior can be disabled by calling
    `tf.debugging.disable_traceback_filtering()`, and can be re-enabled via
    `tf.debugging.enable_traceback_filtering()`. If you are debugging a
    TensorFlow-internal issue (e.g. to prepare a TensorFlow PR), make sure to