forked from mrq/DL-Art-School
More loss fixes
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6cfa67d831
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@ -483,12 +483,13 @@ class SRGANModel(BaseModel):
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if self.l_gan_w > 0 and step > self.G_warmup:
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if self.l_gan_w > 0 and step > self.G_warmup:
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self.add_log_entry('l_d_real', l_d_real_log.item())
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self.add_log_entry('l_d_real', l_d_real_log.item())
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self.add_log_entry('l_d_fake', l_d_fake_log.item())
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self.add_log_entry('l_d_fake', l_d_fake_log.item())
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self.add_log_entry('D_fake', torch.mean(pred_d_fake.detach()))
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self.add_log_entry('D_diff', torch.mean(pred_d_fake) - torch.mean(pred_d_real))
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if isinstance(l_d_fea_real, torch.tensor):
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self.add_log_entry('l_d_fea_fake', l_d_fea_fake.item() * self.mega_batch_factor)
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self.add_log_entry('l_d_fea_fake', l_d_fea_fake.item() * self.mega_batch_factor)
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self.add_log_entry('l_d_fea_real', l_d_fea_real.item() * self.mega_batch_factor)
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self.add_log_entry('l_d_fea_real', l_d_fea_real.item() * self.mega_batch_factor)
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self.add_log_entry('l_d_fake_total', l_d_fake.item() * self.mega_batch_factor)
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self.add_log_entry('l_d_fake_total', l_d_fake.item() * self.mega_batch_factor)
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self.add_log_entry('l_d_real_total', l_d_real.item() * self.mega_batch_factor)
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self.add_log_entry('l_d_real_total', l_d_real.item() * self.mega_batch_factor)
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self.add_log_entry('D_fake', torch.mean(pred_d_fake.detach()))
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self.add_log_entry('D_diff', torch.mean(pred_d_fake) - torch.mean(pred_d_real))
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if step % self.corruptor_swapout_steps == 0 and step > 0:
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if step % self.corruptor_swapout_steps == 0 and step > 0:
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self.load_random_corruptor()
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self.load_random_corruptor()
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