code: def test_gradcheck(self, device):
      img = torch.rand((1, 2, 5, 4), device=device)
      img = tensor_to_gradcheck_var(img)  # to var
      self.gradcheck(edge_aware_blur_pool2d, (img, 3))
  
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 6 for calling the TestEdgeAwareBlurPool obj's underlying member method code with example usage: obj.test_gradcheck(device) without return types