Controls which mode of metrics generation is selected: `CLIENT`, `SERVER`, or `CLIENT_AND_SERVER`.

                                  Valid Options: CLIENT_AND_SERVER, CLIENT, SERVER
                                enum:
                                - CLIENT_AND_SERVER
                                - CLIENT
                                - SERVER
                                type: string

                                  Controls which mode of metrics generation is selected: `CLIENT`, `SERVER`, or `CLIENT_AND_SERVER`.

                                  Valid Options: CLIENT_AND_SERVER, CLIENT, SERVER
                                enum:
                                - CLIENT_AND_SERVER
                                - CLIENT
                                - SERVER
                                type: string

        server.register("multiply", _remote_multiply) ```

    *   Example usage to create client: `python client =
        tf.distribute.experimental.rpc.Client.create("grpc", address) a =
        tf.constant(2, dtype=tf.int32) b = tf.constant(3, dtype=tf.int32)
        result = client.multiply(a, b)`

*   `tf.lite`:

    *   Add experimental API `experimental_from_jax` to support conversion from