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I got a question about the loss for AU.
When computing the loss for Discriminator's AU regression head, you divided it by batch_size, as shown below:
self._loss_g_masked_cond = self._criterion_D_cond(d_fake_desired_img_masked_cond, self._desired_cond) / self._B * self._opt.lambda_D_cond
Just wondering is there any reason for that?
Thank you!
The text was updated successfully, but these errors were encountered:
Hi Albert,
Very nice job!!
I got a question about the loss for AU.
When computing the loss for Discriminator's AU regression head, you divided it by batch_size, as shown below:
self._loss_g_masked_cond = self._criterion_D_cond(d_fake_desired_img_masked_cond, self._desired_cond) / self._B * self._opt.lambda_D_cond
Just wondering is there any reason for that?
Thank you!
The text was updated successfully, but these errors were encountered: