Loading audiolm_pytorch/trainer.py +3 −3 Original line number Diff line number Diff line Loading @@ -263,7 +263,7 @@ class SoundStreamTrainer(nn.Module): # update vae (generator) for _ in range(self.grad_accum_every): wave = next(self.dl_iter) wave, = next(self.dl_iter) wave = wave.to(device) loss, (recon_loss, *_) = self.soundstream(wave, return_loss_breakdown = True) Loading @@ -284,7 +284,7 @@ class SoundStreamTrainer(nn.Module): # update discriminator for _ in range(self.grad_accum_every): wave = next(self.dl_iter) wave, = next(self.dl_iter) wave = wave.to(device) discr_losses = self.soundstream( Loading Loading @@ -337,7 +337,7 @@ class SoundStreamTrainer(nn.Module): for model, filename in ((self.ema_soundstream.ema_model, f'{steps}.ema'), (self.soundstream, str(steps))): model.eval() wave = next(self.valid_dl_iter) wave, = next(self.valid_dl_iter) wave = wave.to(device) recons = model(wave, return_recons_only = True) Loading setup.py +1 −1 Original line number Diff line number Diff line Loading @@ -3,7 +3,7 @@ from setuptools import setup, find_packages setup( name = 'audiolm-pytorch', packages = find_packages(exclude=[]), version = '0.1.19', version = '0.1.20', license='MIT', description = 'AudioLM - Language Modeling Approach to Audio Generation from Google Research - Pytorch', author = 'Phil Wang', Loading Loading
audiolm_pytorch/trainer.py +3 −3 Original line number Diff line number Diff line Loading @@ -263,7 +263,7 @@ class SoundStreamTrainer(nn.Module): # update vae (generator) for _ in range(self.grad_accum_every): wave = next(self.dl_iter) wave, = next(self.dl_iter) wave = wave.to(device) loss, (recon_loss, *_) = self.soundstream(wave, return_loss_breakdown = True) Loading @@ -284,7 +284,7 @@ class SoundStreamTrainer(nn.Module): # update discriminator for _ in range(self.grad_accum_every): wave = next(self.dl_iter) wave, = next(self.dl_iter) wave = wave.to(device) discr_losses = self.soundstream( Loading Loading @@ -337,7 +337,7 @@ class SoundStreamTrainer(nn.Module): for model, filename in ((self.ema_soundstream.ema_model, f'{steps}.ema'), (self.soundstream, str(steps))): model.eval() wave = next(self.valid_dl_iter) wave, = next(self.valid_dl_iter) wave = wave.to(device) recons = model(wave, return_recons_only = True) Loading
setup.py +1 −1 Original line number Diff line number Diff line Loading @@ -3,7 +3,7 @@ from setuptools import setup, find_packages setup( name = 'audiolm-pytorch', packages = find_packages(exclude=[]), version = '0.1.19', version = '0.1.20', license='MIT', description = 'AudioLM - Language Modeling Approach to Audio Generation from Google Research - Pytorch', author = 'Phil Wang', Loading