def compute(self, input_var, mask=None, additional_inputs=None, steps=None, backward=False):
        if additional_inputs and not self.additional_input_dims:
            self.additional_input_dims = map(lambda var: var.dim(), additional_inputs)
        return super(RecurrentLayer, self).compute(input_var, mask=mask, additional_inputs=additional_inputs, steps=steps, backward=backward)
dataset/ETHPy150Open zomux/deepy/deepy/layers/recurrent.py/RecurrentLayer.compute/original