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Fix discriminator noise floor

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This commit is contained in:
James Betker 2020-05-14 20:45:06 -06:00
parent c8ab89d243
commit a946483f1c
1 changed files with 2 additions and 2 deletions
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4
codes/models/SRGAN_model.py
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@ -198,10 +198,10 @@ class SRGANModel(BaseModel):
p.requires_grad = False
# Calculate a standard deviation for the gaussian noise to be applied to the discriminator, termed noise-theta.
if step >= self.D_noise_final:
if self.D_noise_final == 0:
noise_theta = 0
else:
noise_theta = (self.D_noise_theta - self.D_noise_theta_floor) * (self.D_noise_final - step) / self.D_noise_final + self.D_noise_theta_floor
noise_theta = (self.D_noise_theta - self.D_noise_theta_floor) * (self.D_noise_final - min(step, self.D_noise_final)) / self.D_noise_final + self.D_noise_theta_floor
self.fake_GenOut = []
var_ref_skips = []