code: def test_get_score_model_logs_warnings_when_model_not_suitable(
      convolutional_model,
  ):
      explainer = VanillaGradients()
      with pytest.warns(
          UserWarning, match=UNSUPPORTED_ARCHITECTURE_WARNING
      ):
          explainer.get_score_model(convolutional_model)
  
imports: import pytest
  from tf_explain.core.vanilla_gradients import VanillaGradients, UNSUPPORTED_ARCHITECTURE_WARNING
label_desc: Use image node_id 4 for calling a global function with example usage: test_get_score_model_logs_warnings_when_model_not_suitable(convolutional_model) without return types