forked from mrq/DL-Art-School
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@ -339,7 +339,7 @@ class SRGANModel(BaseModel):
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l_d_fake_scaled.backward()
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if self.opt['train']['gan_type'] == 'pixgan':
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# randomly determine portions of the image to swap to keep the discriminator honest.
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pixdisc_channels, pixdisc_output_reduction = self.netD.pixgan_parameters()
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pixdisc_channels, pixdisc_output_reduction = self.netD.module.pixgan_parameters()
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disc_output_shape = (var_ref[0].shape[0], pixdisc_channels, var_ref[0].shape[2] // pixdisc_output_reduction, var_ref[0].shape[3] // pixdisc_output_reduction)
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b, _, w, h = var_ref[0].shape
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real = torch.ones((b, pixdisc_channels, w, h), device=var_ref[0].device)
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