code: def test_smoke(self, shape, kernel_size, normalized, device, dtype):
      inpt = torch.rand(shape, device=device, dtype=dtype)
      actual = laplacian(inpt, kernel_size, "reflect", normalized)
      assert isinstance(actual, torch.Tensor)
      assert actual.shape == shape
  
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 1 for calling the TestLaplacian obj's underlying member method code with example usage: obj.test_smoke(shape, kernel_size, normalized, device, dtype) without return types