to another.
                      format: date-time
                      type: string
                    message:
                      description: Human-readable message indicating details about
                        last transition.
                      type: string
                    observedGeneration:
                      anyOf:
                      - type: integer

        which could be challenging to read through, while not being actionable
        for end users. As of TF 2.7, TensorFlow filters internal frames in most
        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