code: def test_crop(self, batch_size, channels, device, dtype):
      # generate input data
      src_h, src_w = 3, 3
      dst_h, dst_w = 3, 3
  
      # [x, y] origin
      # top-left, top-right, bottom-right, bottom-left
      points_src = torch.tensor(
          [
              [
                  [0, 0],
                  [0, src_w - 1],
                  [src_h - 1, src_w - 1],
                  [src_h - 1, 0],
              ]
          ],
          device=device,
          dtype=dtype,
      )
  
      # [x, y] destination
      # top-left, top-right, bottom-right, bottom-left
      points_dst = torch.tensor(
          [
              [
                  [0, 0],
                  [0, dst_w - 1],
                  [dst_h - 1, dst_w - 1],
                  [dst_h - 1, 0],
              ]
          ],
          device=device,
          dtype=dtype,
      )
  
      # compute transformation between points
      dst_trans_src = kornia.geometry.get_perspective_transform(
          points_src, points_dst
      ).expand(batch_size, -1, -1)
  
      # warp tensor
      patch = torch.tensor(
          [
              [
                  [
                      [1, 2, 3, 4],
                      [5, 6, 7, 8],
                      [9, 10, 11, 12],
                      [13, 14, 15, 16],
                  ]
              ]
          ],
          device=device,
          dtype=dtype,
      ).expand(batch_size, channels, -1, -1)
  
      expected = patch[..., :3, :3]
  
      # warp and assert
      patch_warped = kornia.geometry.warp_perspective(
          patch, dst_trans_src, (dst_h, dst_w)
      )
      assert_close(patch_warped, expected)
  
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 7 for calling the TestWarpPerspective obj's underlying member method code with example usage: obj.test_crop(batch_size, channels, device, dtype) without return types