Add noise to teco disc
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@ -238,6 +238,7 @@ class TecoGanLoss(ConfigurableLoss):
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self.min_loss = opt['min_loss'] if 'min_loss' in opt.keys() else 0
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self.margin = opt['margin'] # Per the tecogan paper, the GAN loss only pays attention to an inner part of the image with the margin removed, to get rid of artifacts resulting from flow errors.
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self.ff = opt['fast_forward'] if 'fast_forward' in opt.keys() else False
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self.noise = opt['noise'] if 'noise' in opt.keys() else 0
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def forward(self, _, state):
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if self.ff:
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@ -288,6 +289,9 @@ class TecoGanLoss(ConfigurableLoss):
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def compute_loss(self, real_sext, fake_sext):
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fp16 = self.env['opt']['fp16']
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net = self.env['discriminators'][self.opt['discriminator']]
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if self.noise != 0:
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real_sext += torch.randn_like(real_sext) * self.noise
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fake_sext += torch.randn_like(fake_sext) * self.noise
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with autocast(enabled=fp16):
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d_fake = net(fake_sext)
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d_real = net(real_sext)
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