Loading audiolm_pytorch/soundstream.py +2 −1 Original line number Diff line number Diff line Loading @@ -585,6 +585,7 @@ class SoundStream(nn.Module): one_discr_loss = hinge_discr_loss(fake_logits, real_logits) discr_losses.append(one_discr_loss) if apply_grad_penalty: discr_grad_penalties.append(gradient_penalty(scaled_real, one_discr_loss)) if not return_discr_losses_separately: Loading audiolm_pytorch/trainer.py +1 −1 Original line number Diff line number Diff line Loading @@ -299,7 +299,7 @@ class SoundStreamTrainer(nn.Module): device = self.device steps = int(self.steps.item()) apply_grad_penalty = not (steps % self.apply_grad_penalty_every) apply_grad_penalty = self.apply_grad_penalty_every > 0 and not (steps % self.apply_grad_penalty_every) log_losses = self.log_losses_every > 0 and not (steps % self.log_losses_every) self.soundstream.train() Loading Loading
audiolm_pytorch/soundstream.py +2 −1 Original line number Diff line number Diff line Loading @@ -585,6 +585,7 @@ class SoundStream(nn.Module): one_discr_loss = hinge_discr_loss(fake_logits, real_logits) discr_losses.append(one_discr_loss) if apply_grad_penalty: discr_grad_penalties.append(gradient_penalty(scaled_real, one_discr_loss)) if not return_discr_losses_separately: Loading
audiolm_pytorch/trainer.py +1 −1 Original line number Diff line number Diff line Loading @@ -299,7 +299,7 @@ class SoundStreamTrainer(nn.Module): device = self.device steps = int(self.steps.item()) apply_grad_penalty = not (steps % self.apply_grad_penalty_every) apply_grad_penalty = self.apply_grad_penalty_every > 0 and not (steps % self.apply_grad_penalty_every) log_losses = self.log_losses_every > 0 and not (steps % self.log_losses_every) self.soundstream.train() Loading