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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def infer(self, x, **fit_params):
 """Perform a single inference step on a batch of data. Parameters x : input data A batch of the input data. **fit_params : dict Additional parameters passed to the ``forward`` method of the module and to the ``self.train_split`` call. """

        x = to_tensor(x, device=self.device)
        if isinstance(x, dict):
            x_dict = self._merge_x_and_fit_params(x, fit_params)
            return self.module_(**x_dict)
        return self.module_(x, **fit_params)