*   Add `tf.keras.layers.Identity`, a placeholder pass-through layer.
 *   Add `show_trainable` option to `tf.keras.utils.model_to_dot` to display layer trainable status in model plots.
 *   Add ability to save a `tf.keras.utils.FeatureSpace` object, via `feature_space.save("myfeaturespace.keras")`, and reload it via `feature_space = tf.keras.models.load_model("myfeaturespace.keras")`.

				Subsets: []core.EndpointSubset{{
					Addresses: []core.EndpointAddress{{IP: "10.10.1.1"}},
					Ports:     []core.EndpointPort{{Name: "p", Port: 93, Protocol: "TCP", AppProtocol: utilpointer.String("lots-of[invalid]-{chars}")}},
				}},
			},
			errorType:   "FieldValueInvalid",
			errorDetail: "name part must consist of alphanumeric characters, '-', '_' or '.', and must start and end with an alphanumeric character",