code: def huber_loss(
      targets: jnp.ndarray, predictions: jnp.ndarray, delta: float = 1.0
  ) -> jnp.ndarray:
      """Implementation of the Huber loss with threshold delta.
  
      Let `x = |targets - predictions|`, the Huber loss is defined as:
      `0.5 * x^2` if `x <= delta`
      `0.5 * delta^2 + delta * (x - delta)` otherwise.
  
      Args:
        targets: Target values.
        predictions: Prediction values.
        delta: Threshold.
  
      Returns:
        Huber loss.
      """
      x = jnp.abs(targets - predictions)
      return jnp.where(
          x <= delta,
          0.5 * x**2,
          0.5 * delta**2 + delta * (x - delta),
      )
  
imports: from flax import linen
  import jax.numpy
label_desc: Use image node_id 1 for calling a global function with example usage: huber_loss(targets, predictions, delta) and returns: jnp