About ContaGan 2C loss about pytorch-studiogan HOT 4 CLOSED

Thanks for you repling. But i still don't understand.
I don't know why use temperature to balance adversarial training and class conditioning.
gen_acml_loss += self.contrastive_lambda*self.contrastive_criterion(cls_embed_fake, cls_proxies_fake, fake_cls_mask, fake_labels, t, self.margin)
did't this value （contrastive_lambda i ） already balanced them?

from pytorch-studiogan.

Hi,

The additional temperature (t) is multiplied for a balance between adversarial training and class conditioning.

However, as you can see in src/configs, all temperatures in ContraGAN.json are fixed at 1.0.

Sorry for the late reply.

Thank you.

from pytorch-studiogan.

Hello.

I noticed that multiplying both the temperature and self.contrastive_lambda is redundant.

I will revise the code in the main branch (actually it is already reflected in the renew_cfgs branch (worker.py line 293), which will officially be released at the end of this month).

Thank you.

from pytorch-studiogan.

OK.Thanks a lot

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