code: def test_downsize(self, device, dtype):
      input = torch.rand(1, 3, 9, 8, device=device, dtype=dtype)
      output = kornia.geometry.transform.rescale(
          input, (1.0 / 3.0, 1.0 / 2.0), align_corners=False
      )
      assert output.shape == (1, 3, 3, 4)
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.testing import assert_close
label_desc: Use image node_id 3 for calling the TestRescale obj's underlying member method code with example usage: obj.test_downsize(device, dtype) without return types