code: def test_smoke(
      self, shape, kernel_size, sigma, params_as_tensor, device, dtype
  ):
      if params_as_tensor is True:
          sigma = torch.tensor(
              [sigma], device=device, dtype=dtype
          ).repeat(shape[0], 1)
  
      inpt = torch.ones(shape, device=device, dtype=dtype)
      actual = unsharp_mask(inpt, kernel_size, sigma, "replicate")
      assert isinstance(actual, torch.Tensor)
      assert actual.shape == shape
  
file_path: kornia/test/filters/test_unsharp_mask.py
imports: import pytest
  import torch
  from kornia.filters import UnsharpMask, unsharp_mask
  from kornia.testing import BaseTester, tensor_to_gradcheck_var
label_desc: Use image node_id 1 for calling the Testunsharp obj's underlying member method code with example usage: obj.test_smoke(shape, kernel_size, sigma, params_as_tensor, device, dtype) without return types