how to pass x into the output? And not to break other metrics.
evaluator = create_supervised_evaluator(
        model, metrics={
            "loss": Loss(criterion),
            "accuracy": Accuracy(), 
            "accuracy_pix2pix": PixelToPixelAccuracy()}, # custom metric to extend
    )