code: def test_batch_vflip(self, device, dtype):
      input = torch.tensor(
          [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 1.0, 1.0]],
          device=device,
          dtype=dtype,
      )  # 3 x 3
  
      input = input.repeat(2, 1, 1)  # 2 x 3 x 3
  
      f = kornia.geometry.transform.Vflip()
      expected = torch.tensor(
          [[[0.0, 1.0, 1.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]],
          device=device,
          dtype=dtype,
      )  # 1 x 3 x 3
  
      expected = expected.repeat(2, 1, 1)  # 2 x 3 x 3
  
      assert_close(f(input), expected)
  
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 TestVflip obj's underlying member method code with example usage: obj.test_batch_vflip(device, dtype) without return types