code: def test_center_crop_357_batch(self, crop_size, device, dtype):
      inp = torch.cat(
          [
              torch.arange(0.0, 343.0, device=device, dtype=dtype).view(
                  1, 1, 7, 7, 7
              ),
              torch.arange(
                  343.0, 686.0, device=device, dtype=dtype
              ).view(1, 1, 7, 7, 7),
          ]
      )
      expected = inp[
          :,
          :,
          (inp.size(2) // 2 - crop_size[0] // 2) : (
              inp.size(2) // 2 + crop_size[0] // 2 + 1
          ),
          (inp.size(3) // 2 - crop_size[1] // 2) : (
              inp.size(3) // 2 + crop_size[1] // 2 + 1
          ),
          (inp.size(4) // 2 - crop_size[2] // 2) : (
              inp.size(4) // 2 + crop_size[2] // 2 + 1
          ),
      ]
      out_crop = kornia.geometry.transform.center_crop3d(
          inp, crop_size, align_corners=True
      )
      assert_close(out_crop, expected, rtol=1e-4, atol=1e-4)
  
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 TestCenterCrop3D obj's underlying member method code with example usage: obj.test_center_crop_357_batch(crop_size, device, dtype) without return types