code: def test_pinhole_camera_translation_setters(self, device, dtype):
      batch_size = 1
      height, width = 4, 6
      fx, fy, cx, cy = 1, 2, width / 2, height / 2
      tx, ty, tz = 1, 2, 3
  
      intrinsics = self._create_intrinsics(
          batch_size, fx, fy, cx, cy, device=device, dtype=dtype
      )
      extrinsics = self._create_extrinsics(
          batch_size, tx, ty, tz, device=device, dtype=dtype
      )
      height = (
          torch.ones(batch_size, device=device, dtype=dtype) * height
      )
      width = torch.ones(batch_size, device=device, dtype=dtype) * width
  
      pinhole = kornia.geometry.camera.PinholeCamera(
          intrinsics, extrinsics, height, width
      )
  
      assert pinhole.tx.item() == tx
      assert pinhole.ty.item() == ty
      assert pinhole.tz.item() == tz
  
      # add offset
      pinhole.tx += 3.0
      pinhole.ty += 2.0
      pinhole.tz += 1.0
  
      assert pinhole.tx.item() == tx + 3.0
      assert pinhole.ty.item() == ty + 2.0
      assert pinhole.tz.item() == tz + 1.0
  
      # set to zero
      pinhole.tx = 0.0
      pinhole.ty = 0.0
      pinhole.tz = 0.0
  
      assert pinhole.tx.item() == 0.0
      assert pinhole.ty.item() == 0.0
      assert pinhole.tz.item() == 0.0
  
imports: import math
  import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  from kornia.testing import assert_close, tensor_to_gradcheck_var
label_desc: Use image node_id 6 for calling the TestPinholeCamera obj's underlying member method code with example usage: obj.test_pinhole_camera_translation_setters(device, dtype) without return types