It’s known that torch.mean() and torch.std() can return mean and standard deviation respectively, and also the computation of standard deviation depends on its mean value.

In some large scale tensor, the cost of calculating mean and std is high, so my question is, if I want both mean and std, is there anyway to get them together avoiding repeatedly calculate mean value again just like tf.nn.moments()?

Thanks