HyperGAN
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QP Loss
https://arxiv.org/abs/1811.07296
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lam = 10.0/(reduce(lambda x,y:x*y, gan.output_shape()))
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dist = (gan.generator.sample - self.gan.inputs.sample).abs().mean()
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​
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dl = - d_real + d_fake
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d_norm = 10 * dist
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d_loss = ( dl + 0.5 * dl**2 / d_norm).mean()
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​
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g_loss = d_real - d_fake
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{
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"class": "function:hypergan.losses.qp_loss.QPLoss"
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}
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