code: def test_crop_batch(self, device, dtype):
      inp = torch.cat(
          [
              torch.arange(0.0, 64.0, device=device, dtype=dtype).view(
                  1, 1, 4, 4, 4
              ),
              torch.arange(
                  0.0, 128.0, step=2, device=device, dtype=dtype
              ).view(1, 1, 4, 4, 4),
          ],
          dim=0,
      )
  
      depth, height, width = 2, 2, 2
      expected = torch.tensor(
          [
              [
                  [
                      [[16.0000, 19.0000], [24.0000, 27.0000]],
                      [[48.0000, 51.0000], [56.0000, 59.0000]],
                  ]
              ],
              [
                  [
                      [[0.0000, 6.0000], [16.0000, 22.0000]],
                      [[64.0000, 70.0000], [80.0000, 86.0000]],
                  ]
              ],
          ],
          device=device,
          dtype=dtype,
      )
  
      boxes = torch.tensor(
          [
              [
                  [0, 0, 1],
                  [3, 0, 1],
                  [3, 2, 1],
                  [0, 2, 1],
                  [0, 0, 3],
                  [3, 0, 3],
                  [3, 2, 3],
                  [0, 2, 3],
              ],
              [
                  [0, 0, 0],
                  [3, 0, 0],
                  [3, 2, 0],
                  [0, 2, 0],
                  [0, 0, 2],
                  [3, 0, 2],
                  [3, 2, 2],
                  [0, 2, 2],
              ],
          ],
          device=device,
          dtype=dtype,
      )  # 2x8x3
  
      patches = kornia.geometry.transform.crop_and_resize3d(
          inp, boxes, (depth, height, width), align_corners=True
      )
      assert_close(patches, expected)
  
imports: 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
label_desc: Use image node_id 2 for calling the TestCropAndResize3D obj's underlying member method code with example usage: obj.test_crop_batch(device, dtype) without return types