

def compute(self, input_var, mask=None, additional_inputs=None, steps=None, backward=False):
    if (additional_inputs and (not additional_inputs.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/VarMisuse@34/41 `self`->`additional_inputs`