def METHOD_NAME(graph: tf.Graph, internal_ops: List[tf.Operation]) \
        -> Tuple[List[str], List[int]]:
    """
    Fetches op names with param input indices for ops with quantizable params
    :param graph: TensorFlow graph as tf.Graph
    :param internal_ops:list of TensorFlow ops within a module
    :return: Tuple consisting of list of op names with params to insert quantize ops for as well as list of indices
    of parameters for each op, within recurrent block
    """
    query = core.OpQuery(graph, ops_to_ignore=None)
    valid_tf_ops = [op for op in query.get_weight_ops(ops=internal_ops)]
    ops_with_param_names = set()
    for tf_op in valid_tf_ops:
        ops_with_param_names.add(tf_op.name)
    input_indices = []
    if ops_with_param_names:
        input_indices = get_op_input_indices(graph, ops_with_param_names)
    else:
        _logger.info("No ops with params detected in this recurrent module")
    return list(ops_with_param_names), input_indices