warp.smooth_normalize

warp.smooth_normalize(v: Any, delta: float = 1.0) → Any

• Kernel: true
• Python: false
• Differentiable: true

Normalize a vector using the pseudo-Huber norm.

See norm_pseudo_huber().

\[\frac{v}{H^\prime(v)}\]

Parameters:

• v (Vector[Float, Any]) – The vector to normalize.

• delta (float) – The threshold value.

Returns:

The normalized vector.

Return type:

Vector[Float, Any]