content: import pytest
  
  from neuralforecast.common._model_checks import check_model
  from neuralforecast.core import MODEL_FILENAME_DICT
  
  
  @pytest.mark.parametrize("model", [v for k,v in MODEL_FILENAME_DICT.items() if 'auto' not in k])
  def test_model_checks(model):
      check_model(model, checks=["losses"])
  