code: def test_module(self, kernel_size, sigma, device, dtype):
      params = [kernel_size, sigma]
      op = gaussian_blur2d
      op_module = GaussianBlur2d(*params)
  
      img = torch.ones(1, 3, 5, 5, device=device, dtype=dtype)
  
      self.assert_close(op(img, *params), op_module(img))
      sigma_tensor = torch.tensor([sigma], device=device, dtype=dtype)
      params = [kernel_size, sigma_tensor]
      op_module = GaussianBlur2d(*params)
  
      self.assert_close(op(img, *params), op_module(img))
  
imports: import pytest
  import torch
  from kornia.filters import GaussianBlur2d, gaussian_blur2d, get_gaussian_discrete_kernel1d, get_gaussian_erf_kernel1d, get_gaussian_kernel1d, get_gaussian_kernel2d, get_gaussian_kernel3d
  from kornia.testing import BaseTester, assert_close, tensor_to_gradcheck_var
label_desc: Use image node_id 6 for calling the TestGaussianBlur2d obj's underlying member method code with example usage: obj.test_module(kernel_size, sigma, device, dtype) without return types