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import tensorflow as tf
import hyperchamber as hc
from hypergan.losses.base_loss import BaseLoss
class LeastSquaresLoss(BaseLoss):
def required(self):
return "labels".split()
def _create(self, d_real, d_fake):
ops = self.gan.ops
config = self.config
a,b,c = config.labels
square = ops.lookup('square')
d_loss = 0.5*square(d_real - b) + 0.5*square(d_fake - a)
g_loss = 0.5*square(d_fake - c)
return [d_loss, g_loss]
