code: def test_dynamo(
      self,
      batch_size,
      kernel_size,
      stride,
      device,
      dtype,
      torch_optimizer,
  ):
      inpt = torch.ones(
          batch_size, 3, 10, 10, device=device, dtype=dtype
      )
      op = BlurPool2D(kernel_size, stride=stride)
      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 7 for calling the TestBlurPool obj's underlying member method code with example usage: obj.test_dynamo(batch_size, kernel_size, stride, device, dtype, torch_optimizer) without return types