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Only log discriminator data when gan is activated

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This commit is contained in:
James Betker 2020-06-01 15:48:16 -06:00
parent f1a1fd14b1
commit 8355f3d1b3
1 changed files with 8 additions and 6 deletions
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14
codes/models/SRGAN_model.py
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@ -347,13 +347,15 @@ class SRGANModel(BaseModel):
if self.cri_fea:
self.add_log_entry('feature_weight', self.l_fea_w)
self.add_log_entry('l_g_fea', l_g_fea.item())
self.add_log_entry('l_g_gan', l_g_gan.item())
if self.l_gan_w > 0:
self.add_log_entry('l_g_gan', l_g_gan.item())
self.add_log_entry('l_g_total', l_g_total.item() * self.mega_batch_factor)
self.add_log_entry('l_d_real', l_d_real.item() * self.mega_batch_factor)
self.add_log_entry('l_d_fake', l_d_fake.item() * self.mega_batch_factor)
self.add_log_entry('D_fake', torch.mean(pred_d_fake.detach()))
self.add_log_entry('D_diff', torch.mean(pred_d_fake) - torch.mean(pred_d_real))
self.add_log_entry('noise_theta', noise_theta)
if self.l_gan_w > 0:
self.add_log_entry('l_d_real', l_d_real.item() * self.mega_batch_factor)
self.add_log_entry('l_d_fake', l_d_fake.item() * self.mega_batch_factor)
self.add_log_entry('D_fake', torch.mean(pred_d_fake.detach()))
self.add_log_entry('D_diff', torch.mean(pred_d_fake) - torch.mean(pred_d_real))
self.add_log_entry('noise_theta', noise_theta)
if step % self.corruptor_swapout_steps == 0 and step > 0:
self.load_random_corruptor()