warp.norm\_huber
================

.. function:: warp._src.lang.norm_huber(v: Any, delta: float) -> float

   .. hlist::
      :columns: 8

      * Kernel
      * Differentiable

   Compute the Huber norm of a vector v with a given delta.
   
   .. math::
       H(v) = \begin{cases} \frac{1}{2} \|v\|^2 & \text{if } \|v\| \leq \delta \\ \delta(\|v\| - \frac{1}{2}\delta) & \text{otherwise} \end{cases}
   
   .. image:: /img/norm_huber.svg
       :align: center
   
   :param v: The vector to compute the Huber norm of.
   :type v: Vector[Float, Any]
   :param delta: The threshold value, defaults to 1.0.
   :type delta: float
   
   :returns: The Huber norm of the vector.
   :rtype: float