code: def test_module(self, device, dtype):
      shape = (2, 3, 11, 7)
      kernel_size = 5
      sigma_color = 0.1
      sigma_space = (2, 2)
      img = torch.rand(shape, device=device, dtype=dtype)
      guide = torch.rand(shape, device=device, dtype=dtype)
      params = (kernel_size, sigma_color, sigma_space)
  
      op = joint_bilateral_blur
      op_module = JointBilateralBlur(*params)
      self.assert_close(op_module(img, guide), op(img, guide, *params))
  
imports: import pytest
  import torch
  from kornia.filters import BilateralBlur, JointBilateralBlur, bilateral_blur, joint_bilateral_blur
  from kornia.testing import BaseTester, tensor_to_gradcheck_var
label_desc: Use image node_id 7 for calling the TestJointBilateralBlur obj's underlying member method code with example usage: obj.test_module(device, dtype) without return types