code: def test_dynamo(self, device, dtype, torch_optimizer):
      # TODO: add dynamo support to create_meshgrid
      batch_size, channels, height, width = 1, 1, 3, 4
      img = torch.ones(
          batch_size,
          channels,
          height,
          width,
          device=device,
          dtype=dtype,
      )
  
      grid = kornia.utils.create_meshgrid(
          height, width, normalized_coordinates=False, device=device
      ).to(dtype)
      grid += 1.0  # apply some shift
  
      op = kornia.geometry.remap
      op_script = torch_optimizer(op)
  
      inputs = (
          img,
          grid[..., 0],
          grid[..., 1],
          "bilinear",
          "zeros",
          True,
      )
      actual = op_script(*inputs)
      expected = op(*inputs)
      assert_close(actual, expected, rtol=1e-4, atol=1e-4)
  
imports: import sys
  import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.testing import assert_close
  from kornia.utils._compat import torch_version, torch_version_lt
  from kornia.utils.helpers import _torch_inverse_cast
label_desc: Use image node_id 8 for calling the TestRemap obj's underlying member method code with example usage: obj.test_dynamo(device, dtype, torch_optimizer) without return types