warp.norm_pseudo_huber#
- warp.norm_pseudo_huber(v: Any, delta: float) None#
Kernel
Differentiable
Computes the “pseudo” Huber norm of a vector v with a given delta.
\[H^\prime(v) = \delta \sqrt{1 + \frac{\|v\|^2}{\delta^2}}\]- Args:
v (Vector[Any,Float]): The vector to compute the Huber norm of. delta (float): The threshold value, defaults to 1.0.
- Returns:
float: The Huber norm of the vector.