class_docstr: Collection of data from a real stereo setup.
class_docstr_tok: ["Collection","of","data","from","a","real","stereo","setup","."]
code: def _get_real_disparity(batch_size, device, dtype):
      # First 10 cols of 1 row in a real disparity map.
      disp = torch.tensor(
          [
              [
                  [
                      [67.5039],
                      [67.5078],
                      [67.5117],
                      [67.5156],
                      [67.5195],
                      [67.5234],
                      [67.5273],
                      [67.5312],
                      [67.5352],
                      [67.5391],
                  ]
              ]
          ],
          device=device,
          dtype=dtype,
      ).permute(0, 2, 3, 1)
      return disp.expand(batch_size, -1, -1, -1)
  
imports: import pytest
  import torch
  from kornia.geometry.camera import StereoCamera
  from kornia.testing import assert_close
label_desc: Use image node_id 6 for calling the _RealTestData obj's underlying member method code with example usage: obj._get_real_disparity(batch_size, device, dtype) and returns: disp