code: def test_dynamo(
      self, batch_size, kernel_size, device, dtype, torch_optimizer
  ):
      op = edge_aware_blur_pool2d
      inpt = torch.rand(batch_size, 3, 4, 5, device=device, dtype=dtype)
      op = EdgeAwareBlurPool2D(kernel_size)
      op_optimized = torch_optimizer(op)
  
      self.assert_close(op(inpt), op_optimized(inpt))
  
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 8 for calling the TestEdgeAwareBlurPool obj's underlying member method code with example usage: obj.test_dynamo(batch_size, kernel_size, device, dtype, torch_optimizer) without return types