code: def test_smoke(
      self,
      kernel_size,
      batch_size,
      edge_threshold,
      edge_dilation_kernel_size,
      device,
      dtype,
  ):
      inpt = torch.zeros(
          batch_size, 3, 8, 8, device=device, dtype=dtype
      )
      actual = edge_aware_blur_pool2d(
          inpt, kernel_size, edge_threshold, edge_dilation_kernel_size
      )
      assert actual.shape == inpt.shape
  
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 1 for calling the TestEdgeAwareBlurPool obj's underlying member method code with example usage: obj.test_smoke(kernel_size, batch_size, edge_threshold, edge_dilation_kernel_size, device, dtype) without return types