About aux_loss in adcgan

[leesocool]

Thank you for a great job. I'm trying to reproduce your results using TensorFlow, and I'd like to know why the "+1" operation is performed on the label in D_adc_loss_fake and G_adc_loss_neg.
in train_fns.py
Line 63
D_adc_loss_fake = losses.classifier_loss_dis(D_adc_fake, y_[:config['batch_size']] * 2 + 1, config['hinge'])
and
Line 106
G_adc_loss_neg = losses.classifier_loss_gen(D_adc_fake, y_ * 2 + 1, config['hinge'])

Looking forward to your answer, thank you!