code: def test_dynamo(
      self, kernel_size, sigma, device, dtype, torch_optimizer
  ):
      inpt = torch.ones(1, 3, 5, 5, device=device, dtype=dtype)
  
      op = GaussianBlur2d(kernel_size, sigma)
      op_optimized = torch_optimizer(op)
  
      self.assert_close(op(inpt), op_optimized(inpt))
  
      sigma_tensor = torch.tensor([sigma], device=device, dtype=dtype)
      op = GaussianBlur2d(kernel_size, sigma_tensor)
      op_optimized = torch_optimizer(op)
  
      self.assert_close(op(inpt), op_optimized(inpt))
  
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 7 for calling the TestGaussianBlur2d obj's underlying member method code with example usage: obj.test_dynamo(kernel_size, sigma, device, dtype, torch_optimizer) without return types