code: def test_pinhole_camera_device(self, device, dtype):
      batch_size = 5
      intrinsics = torch.rand(
          (batch_size, 4, 4), device=device, dtype=dtype
      )
      extrinsics = torch.rand(
          (batch_size, 4, 4), device=device, dtype=dtype
      )
      height = torch.randint(
          low=5, high=9, size=(batch_size,), device=device
      )
      width = torch.randint(
          low=5, high=9, size=(batch_size,), device=device
      )
  
      pinhole = kornia.geometry.camera.PinholeCamera(
          intrinsics, extrinsics, height, width
      )
      assert pinhole.device() == intrinsics.device
  
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 11 for calling the TestPinholeCamera obj's underlying member method code with example usage: obj.test_pinhole_camera_device(device, dtype) without return types