def METHOD_NAME(graph: tf.Graph, internal_ops: List[tf.Operation]) \
        -> Tuple[List[str], List[int], List[str]]:
    """
    selects params and activations from internal ops in a SimpleRNN module, for quantization
    :param graph: tf.Graph active TensorFlow graph
    :param internal_ops: internal ops in given recurrent module
    :return: Tuple[List[str], List[int], List[str]], selected param op names, input indices and activation op names
    """
    # Get list of ops with params to insert quantizers for, as well as the input indices to insert on.
    curr_module_ops_with_param_names, curr_module_input_indices = _get_internal_ops_to_quantize_params_for(graph,
                                                                                                           internal_ops)
    # Get list of activation ops to insert quantizers for
    curr_module_activation_op_names = _get_internal_ops_to_quantize_activations_for(
        internal_ops, basic_recurrent_inner_op_types_to_quantize)
    return curr_module_ops_with_param_names, curr_module_input_indices, curr_module_activation_op_names