spyrit.core.prep.Identity.sigma

Identity.sigma(v: tensor) → tensor

Variance of the preprocessed measurements

\[\text{var}(m) =\text{var}(y)\]

Args:

v (torch.tensor): Variance of \(y\) with arbitrary shape.

Returns:

torch.tensor: Variance of \(m\). Same as input.