def to_cpu(self):
        """Updates the PyTorch Lightning Trainer parameters to move the model to CPU the next time :fun:`fit()` or
        :func:`predict()` is called.
        """
        self.trainer_params["accelerator"] = "cpu"
        self.trainer_params = {
            k: v
            for k, v in self.trainer_params.items()
            if k not in ["devices", "auto_select_gpus"]
        }
Updates the PyTorch Lightning Trainer parameters to move the model to CPU the next time :fun:`fit()` or
        :func:`predict()` is called.
        
darts/models/forecasting/torch_forecasting_model.py