code: def test_same_input(self, device, dtype):
      shape = (2, 3, 8, 15)
      kernel_size = 5
      sigma_color = 0.1
      sigma_space = (2, 2)
      inp = torch.rand(shape, device=device, dtype=dtype)
  
      out1 = joint_bilateral_blur(
          inp, inp, kernel_size, sigma_color, sigma_space
      )
      out2 = bilateral_blur(inp, kernel_size, sigma_color, sigma_space)
      self.assert_close(out1, out2)
  
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 2 for calling the TestJointBilateralBlur obj's underlying member method code with example usage: obj.test_same_input(device, dtype) without return types