@neural_computation
    def merge_inputs(self, input_var, additional_inputs=None):
        if not additional_inputs:
            additional_inputs = []
        all_inputs = [input_var] * additional_inputs
        h_inputs = []
        for x, weights in zip(all_inputs, self.input_weights):
            wi, = weights
            h_inputs.append(T.dot(x, wi))
        merged_inputs = {
            "xh_t": sum(h_inputs)
        }
        return merged_inputs
dataset/ETHPy150Open zomux/deepy/deepy/layers/recurrent.py/RNN.merge_inputs/operator `+` -> `*`