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Rename discriminator score variables for clarity #1427

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Rename discriminator score variables for clarity #1427

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8 changes: 5 additions & 3 deletions dcgan/main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -243,7 +243,7 @@ def forward(self, input):
output = netD(fake.detach())
errD_fake = criterion(output, label)
errD_fake.backward()
D_G_z1 = output.mean().item()
discriminator_score_on_fake_before_update = output.mean().item()
errD = errD_real + errD_fake
optimizerD.step()

Expand All @@ -255,12 +255,14 @@ def forward(self, input):
output = netD(fake)
errG = criterion(output, label)
errG.backward()
D_G_z2 = output.mean().item()
discriminator_score_on_fake_after_update = output.mean().item()
optimizerG.step()

print('[%d/%d][%d/%d] Loss_D: %.4f Loss_G: %.4f D(x): %.4f D(G(z)): %.4f / %.4f'
% (epoch, opt.niter, i, len(dataloader),
errD.item(), errG.item(), D_x, D_G_z1, D_G_z2))
errD.item(), errG.item(), D_x,
discriminator_score_on_fake_before_update,
discriminator_score_on_fake_after_update))
if i % 100 == 0:
vutils.save_image(real_cpu,
'%s/real_samples.png' % opt.outf,
Expand Down