code: def test_dynamo(self, batch_size, device, dtype, torch_optimizer):
      # TODO: FIX op
      inpt = torch.ones(
          batch_size, 3, 10, 10, device=device, dtype=dtype
      )
      op = MotionBlur(3, 36.0, 0.5)
      op_optimized = torch_optimizer(op)
  
      self.assert_close(op(inpt), op_optimized(inpt))
  
imports: import pytest
  import torch
  from kornia.filters import MotionBlur, MotionBlur3D, get_motion_kernel2d, get_motion_kernel3d, motion_blur, motion_blur3d
  from kornia.testing import BaseTester, tensor_to_gradcheck_var
label_desc: Use image node_id 8 for calling the TestMotionBlur obj's underlying member method code with example usage: obj.test_dynamo(batch_size, device, dtype, torch_optimizer) without return types