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@@ -42,7 +42,7 @@ class TestModel(BaseModel):
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# specify the training losses you want to print out. The training/test scripts will call <BaseModel.get_current_losses>
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self.loss_names = []
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# specify the images you want to save/display. The training/test scripts will call <BaseModel.get_current_visuals>
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self.visual_names = ['real', 'fake']
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self.visual_names = ['real', 'fake', 'fake_noattack']
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# specify the models you want to save to the disk. The training/test scripts will call <BaseModel.save_networks> and <BaseModel.load_networks>
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self.model_names = ['G' + opt.model_suffix] # only generator is needed.
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self.netG = networks.define_G(opt.input_nc, opt.output_nc, opt.ngf, opt.netG,
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