def METHOD_NAME(x):
    n = x.size(0)
    x = x.reshape(n, -1)
    mean = x.mean(0)
    x = x - mean
    std = (x * x).mean(0).sqrt()
    x = x / std
    corr = (x.unsqueeze(-1) * x.unsqueeze(-2)).mean(0).reshape(-1)
    return torch.cat([mean, std, corr])