code: def test_dynamo(self, device, dtype, torch_optimizer):
      img = self.prepare_data((1, 2, 5, 5), device, dtype)
      op = kornia.geometry.transform.upscale_double
      op_optimized = torch_optimizer(op)
      self.assert_close(op(img), op_optimized(img))
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.testing import BaseTester, assert_close
label_desc: Use image node_id 4 for calling the TestUpscaleDouble obj's underlying member method code with example usage: obj.test_dynamo(device, dtype, torch_optimizer) without return types