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Only train discriminator/gan losses when gan_w > 0

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James Betker 2020-06-01 15:09:10 -06:00
parent 1eb9c5a059
commit a38dd62489
1 changed files with 55 additions and 53 deletions
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codes/models/SRGAN_model.py
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@ -239,6 +239,7 @@ class SRGANModel(BaseModel):
if step % self.l_fea_w_decay_steps == 0: if step % self.l_fea_w_decay_steps == 0:
self.l_fea_w = max(self.l_fea_w_minimum, self.l_fea_w * self.l_fea_w_decay) self.l_fea_w = max(self.l_fea_w_minimum, self.l_fea_w * self.l_fea_w_decay)
if self.l_gan_w > 0:
if self.opt['train']['gan_type'] == 'gan': if self.opt['train']['gan_type'] == 'gan':
pred_g_fake = self.netD(fake_GenOut) pred_g_fake = self.netD(fake_GenOut)
l_g_gan = self.l_gan_w * self.cri_gan(pred_g_fake, True) l_g_gan = self.l_gan_w * self.cri_gan(pred_g_fake, True)
@ -258,6 +259,7 @@ class SRGANModel(BaseModel):
self.optimizer_G.step() self.optimizer_G.step()
# D # D
if self.l_gan_w > 0:
for p in self.netD.parameters(): for p in self.netD.parameters():
p.requires_grad = True p.requires_grad = True