code: def test_checks_input_size_for_inception_model(mocker):
      with pytest.raises(ValueError) as error:
          model = models.inception_v3()
          backprop = Backprop(model)
  
          target_class = 5
          input_ = torch.zeros([1, 3, 224, 224])
  
          backprop.calculate_gradients(input_, target_class)
  
      assert "Image must be 299x299 for Inception models." in str(
          error.value
      )
  
imports: import inspect
  import pytest
  import torch
  import torch.nn
  import torch.nn.functional
  import torchvision.models
  from flashtorch.saliency import Backprop
label_desc: Use image node_id 15 for calling a global function with example usage: test_checks_input_size_for_inception_model(mocker) without return types