code: def test_module(self, kernel_size, batch_size, device, dtype):
      op = edge_aware_blur_pool2d
      op_module = EdgeAwareBlurPool2D
  
      img = torch.rand(batch_size, 3, 4, 5, device=device, dtype=dtype)
      actual = op_module(kernel_size)(img)
      expected = op(img, kernel_size)
      self.assert_close(actual, expected)
  
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 5 for calling the TestEdgeAwareBlurPool obj's underlying member method code with example usage: obj.test_module(kernel_size, batch_size, device, dtype) without return types