GCNMultiDecoder doesn't use label graph when output_type is "open"

[Saltychtao]

Hi, thanks for sharing code ! I notice that in the forward function of class GCNMultiDecoder in model_util.py

def forward(self, inputs, output_type):
    connection_matrix = self.label_matrix + self.weight * self.affinity
    label_vectors = self.transform(
        connection_matrix.mm(self.linear.weight) / connection_matrix.sum(
            1, keepdim=True))

    if output_type == "open":
        return self.linear(inputs)
    elif output_type == 'wiki':
        return F.linear(
            inputs, label_vectors[:constant.ANSWER_NUM_DICT['wiki'], :],
            self.linear.bias)
    elif output_type == 'kb':
        return F.linear(inputs,
                        label_vectors[:constant.ANSWER_NUM_DICT['kb'], :],
                        self.linear.bias)
    else:
        raise ValueError('Decoder error: output type not one of the valid')

when output_type is "open", the model simply do a linear transform of the input hidden state which means the model doesn't utilize the label correlation information when the label space is "open", is there something wrong here?