code: def test_get_laplacian_kernel2d(window_size, device, dtype):
      actual = get_laplacian_kernel2d(
          window_size, device=device, dtype=dtype
      )
      expected = torch.zeros(1, device=device, dtype=dtype)
      expected_shape = (
          window_size
          if isinstance(window_size, tuple)
          else (window_size, window_size)
      )
  
      assert actual.shape == expected_shape
      assert_close(actual.sum(), expected.sum())
  
file_path: kornia/test/filters/test_laplacian.py
imports: import pytest
  import torch
  from kornia.filters import Laplacian, get_laplacian_kernel1d, get_laplacian_kernel2d, laplacian
  from kornia.testing import BaseTester, assert_close, tensor_to_gradcheck_var
label_desc: Use image node_id 2 for calling a global function with example usage: test_get_laplacian_kernel2d(window_size, device, dtype) without return types