message: Docstring update: clarify non-portability of a saved Keras Lambda layer.
diff: @@ -765,9 +765,10 @@ class Lambda(Layer):
  The main reason to subclass `tf.keras.layers.Layer` instead of using a
  `Lambda` layer is saving and inspecting a Model. `Lambda` layers
  - are saved by serializing the Python bytecode, whereas subclassed
  - Layers can be saved via overriding their `get_config` method. Overriding
  - `get_config` improves the portability of Models. Models that rely on
  + are saved by serializing the Python bytecode, which is fundamentally
  + non-portable. They should only be loaded in the same environment where
  + they were saved. Subclassed layers can be saved in a more portable way
  + by overriding their `get_config` method. Models that rely on
  subclassed Layers are also often easier to visualize and reason about.
  Examples:
  