methods to skip the cached function and generate a new one. This is
        useful to regenerate in a single call the compiled training function
        when any `.trainable` attribute of any model's layer has changed.
    *   Models now have a `save_spec` property which contains the `TensorSpec`
        specs for calling the model. This spec is automatically saved when the

                      description: Optional.
                      items:
                        properties:
                          key:
                            description: The name of an Istio attribute.
                            type: string
                          notValues:
                            description: Optional.
                            items:
                              type: string

                      description: Optional.
                      items:
                        properties:
                          key:
                            description: The name of an Istio attribute.
                            type: string
                          notValues:
                            description: Optional.
                            items:
                              type: string