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@ -268,7 +268,7 @@ class SRGANModel(BaseModel):
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self.get_grad_nopadding = ImageGradientNoPadding().to(self.device)
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self.get_grad_nopadding = ImageGradientNoPadding().to(self.device)
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[self.netG, self.netD, self.netD_grad, self.get_grad_nopadding], \
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[self.netG, self.netD, self.netD_grad, self.get_grad_nopadding], \
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[self.optimizer_G, self.optimizer_D, self.optimizer_D_grad] = \
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[self.optimizer_G, self.optimizer_D, self.optimizer_D_grad] = \
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amp.initialize([self.netG, self.netD, self.netD_grad, self.get_grad, self.get_grad_nopadding],
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amp.initialize([self.netG, self.netD, self.netD_grad, self.get_grad_nopadding],
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[self.optimizer_G, self.optimizer_D, self.optimizer_D_grad],
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[self.optimizer_G, self.optimizer_D, self.optimizer_D_grad],
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opt_level=self.amp_level, num_losses=3)
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opt_level=self.amp_level, num_losses=3)
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else:
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else:
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