code: def huber_loss(error, delta=1.0):
      """
      Args:
          error: Torch tensor (d1,d2,...,dk)
      Returns:
          loss: Torch tensor (d1,d2,...,dk)
  
      x = error = pred - gt or dist(pred,gt)
      0.5 * |x|^2                 if |x|<=d
      0.5 * d^2 + d * (|x|-d)     if |x|>d
      Ref: https://github.com/charlesq34/frustum-pointnets/blob/master/models/model_util.py
      """
      abs_error = torch.abs(error)
      # quadratic = torch.min(abs_error, torch.FloatTensor([delta]))
      quadratic = torch.clamp(abs_error, max=delta)
      linear = abs_error - quadratic
      loss = 0.5 * quadratic**2 + delta * linear
      return loss
  
imports: import torch
label_desc: Use image node_id 2 for calling a global function with example usage: huber_loss(error, delta) and returns: loss