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