code: def test_module(self, kernel_size, batch_size, device, dtype):
      op = box_blur
      op_module = BoxBlur
  
      img = torch.rand(batch_size, 3, 4, 5, device=device, dtype=dtype)
      actual = op_module(kernel_size)(img)
      expected = op(img, kernel_size)
  
      self.assert_close(actual, expected)
  
file_path: kornia/test/filters/test_blur.py
imports: import pytest
  import torch
  from kornia.filters import BoxBlur, box_blur
  from kornia.testing import BaseTester, tensor_to_gradcheck_var
label_desc: Use image node_id 10 for calling the TestBoxBlur obj's underlying member method code with example usage: obj.test_module(kernel_size, batch_size, device, dtype) without return types