code: def test_cardinality(self, kernel_size, batch_size, device, dtype):
      inp = torch.zeros(batch_size, 3, 8, 8, device=device, dtype=dtype)
      blur = edge_aware_blur_pool2d(inp, kernel_size=kernel_size)
      assert blur.shape == inp.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 2 for calling the TestEdgeAwareBlurPool obj's underlying member method code with example usage: obj.test_cardinality(kernel_size, batch_size, device, dtype) without return types