code: def _create_intrinsics_inv(
      self, batch_size, fx, fy, cx, cy, device, dtype
  ):
      temp = torch.eye(4, device=device, dtype=dtype)
      temp[0, 0], temp[0, 2] = 1 / fx, -cx / fx
      temp[1, 1], temp[1, 2] = 1 / fy, -cy / fy
      intrinsics_inv = temp.expand(batch_size, -1, -1)
      return intrinsics_inv
  
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 2 for calling the TestCam2Pixel obj's underlying member method code with example usage: obj._create_intrinsics_inv(batch_size, fx, fy, cx, cy, device, dtype) and returns: intrinsics_inv