code: def dog_response(input: Tensor) -> Tensor:
      r"""Compute the Difference-of-Gaussian response.
  
      Args:
          input: a given the gaussian 5d tensor :math:`(B, C, D, H, W)`.
  
      Return:
          the response map per channel with shape :math:`(B, C, D-1, H, W)`.
      """
      KORNIA_CHECK_SHAPE(input, ["B", "C", "L", "H", "W"])
  
      return input[:, :, 1:] - input[:, :, :-1]
  
imports: from typing import Optional, Union
  import torch
  from kornia.core import Module, Tensor, tensor
  from kornia.core.check import KORNIA_CHECK_SHAPE
  from kornia.filters import gaussian_blur2d, spatial_gradient
label_desc: Use image node_id 5 for calling a global function with example usage: dog_response(input) and returns: unknown