code: def test_smooth(self, device, dtype):
      img = torch.ones(1, 1, 5, 5, device=device, dtype=dtype)
      img[0, 0, :, :2] = 0
      blur = edge_aware_blur_pool2d(
          img, kernel_size=3, edge_threshold=32.0
      )
      self.assert_close(img, blur)
  
imports: import pytest
  import torch
  from kornia.filters import BlurPool2D, EdgeAwareBlurPool2D, MaxBlurPool2D, blur_pool2d, edge_aware_blur_pool2d, max_blur_pool2d
  from kornia.testing import BaseTester, tensor_to_gradcheck_var
label_desc: Use image node_id 7 for calling the TestEdgeAwareBlurPool obj's underlying member method code with example usage: obj.test_smooth(device, dtype) without return types