def get_stats(
    array, conf_interval=False, name=None, stdout=False, logout=False
):
    """Compute mean and standard deviation from an numerical array

    Args:
        array (array like obj): The numerical array, this array can be
            convert to :obj:`torch.Tensor`.
        conf_interval (bool, optional): If True, compute the confidence interval bound (95%)
            instead of the std value. (default: :obj:`False`)
        name (str, optional): The name of this numerical array, for log usage.
            (default: :obj:`None`)
        stdout (bool, optional): Whether to output result to the terminal.
            (default: :obj:`False`)
        logout (bool, optional): Whether to output result via logging module.
            (default: :obj:`False`)
    """
    eps = 1e-9
    array = torch.Tensor(array)
    std, mean = torch.std_mean(array)
    std = std.item()
    mean = mean.item()
    center = mean

    if conf_interval:
        n = array.size(0)
        se = std / (math.sqrt(n) + eps)
        t_value = t.ppf(0.975, df=n - 1)
        err_bound = t_value * se
    else:
        err_bound = std

    # log and print
    if name is None:
        name = "array {}".format(id(array))
    log = "{}: {:.4f}(+-{:.4f})".format(name, center, err_bound)
    if stdout:
        print(log)
    if logout:
        logging.info(log)

    return center, err_bound
Compute mean and standard deviation from an numerical array

    Args:
        array (array like obj): The numerical array, this array can be
            convert to :obj:`torch.Tensor`.
        conf_interval (bool, optional): If True, compute the confidence interval bound (95%)
            instead of the std value. (default: :obj:`False`)
        name (str, optional): The name of this numerical array, for log usage.
            (default: :obj:`None`)
        stdout (bool, optional): Whether to output result to the terminal.
            (default: :obj:`False`)
        logout (bool, optional): Whether to output result via logging module.
            (default: :obj:`False`)
    
examples/pytorch/sagpool/utils.py