def METHOD_NAME(data, gamma=None, beta=None, moving_mean=None, moving_var=None, **kwargs):
    """Wrapper of batch_norm.
    This function automatically creates weights and return
    the first output(normalized result).
    Parameters
    ----------
    data : relay.Expr
        The input expression.
    gamma : relay.Expr
        The gamma scale factor.
    beta : relay.Expr
        The beta offset factor.
    moving_mean : relay.Expr
        Running mean of input,
    moving_var : relay.Expr
        Running variance of input.
    kwargs : dict
        Additional arguments.
    Returns
    -------
    result : relay.Expr
        The result.
    """
    name = kwargs.get("name")
    kwargs.pop("name")
    if not gamma:
        gamma = relay.var(name + "_gamma")
    if not beta:
        beta = relay.var(name + "_beta")
    if not moving_mean:
        moving_mean = relay.var(name + "_moving_mean")
    if not moving_var:
        moving_var = relay.var(name + "_moving_var")
    return relay.nn.batch_norm(
        data, gamma=gamma, beta=beta, moving_mean=moving_mean, moving_var=moving_var, **kwargs
    )[0]