warp.norm_pseudo_huber# warp.norm_pseudo_huber(v: Any, delta: float) → float# Kernel Differentiable Compute the “pseudo” Huber norm of a vector v with a given delta. \[H^\prime(v) = \delta \sqrt{1 + \frac{\|v\|^2}{\delta^2}}\] Parameters: v (Vector[Float, Any]) – The vector to compute the Huber norm of. delta (float) – The threshold value, defaults to 1.0. Returns: The Huber norm of the vector. Return type: float