warp.smooth_normalize#
- warp.smooth_normalize(v: Any, delta: float) None#
Kernel
Differentiable
Normalizes a vector using the pseudo-Huber norm.
See
norm_pseudo_huber().\[\frac{v}{H^\prime(v)}\]- Args:
v (Vector[Any,Float]): The vector to normalize. delta (float): The threshold value, defaults to 1.0.
- Returns:
Vector[Any,Float]: The normalized vector.