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