def METHOD_NAME(iterations, num_hidden, batch_size=1, dtype="float32"):
    """Get benchmark workload for an LSTM RNN.
    Parameters
    ----------
    iterations : int
        The number of iterations in the desired LSTM RNN.
    num_hidden : int
        The size of the hiddxen state
    batch_size : int, optional (default 1)
        The batch size used in the model
    dtype : str, optional (default "float32")
        The data type
    Returns
    -------
    mod : tvm.IRModule
        The relay module that contains a LSTM network.
    params : dict of str to NDArray
        The parameters.
    """
    net = get_net(iterations, num_hidden, batch_size, dtype)
    return create_workload(net)