code: def test_different_size(self, device, dtype):
      height, width = 3, 4
      grid = kornia.utils.create_meshgrid(
          height, width, device=device, dtype=dtype
      )
  
      img = torch.rand(1, 2, 6, 5, device=device, dtype=dtype)
      img_warped = kornia.geometry.remap(
          img, grid[..., 0], grid[..., 1]
      )
      assert img_warped.shape == (1, 2, height, width)
  
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 2 for calling the TestRemap obj's underlying member method code with example usage: obj.test_different_size(device, dtype) without return types