code: def test_angle90_batch2(self, device, dtype):
      # prepare input data
      inp = torch.tensor(
          [[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0]]],
          device=device,
          dtype=dtype,
      ).repeat(2, 1, 1, 1)
      expected = torch.tensor(
          [
              [[[0.0, 0.0], [4.0, 6.0], [3.0, 5.0], [0.0, 0.0]]],
              [[[0.0, 0.0], [5.0, 3.0], [6.0, 4.0], [0.0, 0.0]]],
          ],
          device=device,
          dtype=dtype,
      )
      # prepare transformation
      angle = torch.tensor([90.0, -90.0], device=device, dtype=dtype)
      transform = kornia.geometry.transform.Rotate(
          angle, align_corners=True
      )
      assert_close(transform(inp), expected, atol=1e-4, rtol=1e-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 2 for calling the TestRotate obj's underlying member method code with example usage: obj.test_angle90_batch2(device, dtype) without return types