Loading audiolm_pytorch/trainer.py +4 −4 Original line number Diff line number Diff line Loading @@ -262,7 +262,7 @@ class SoundStreamTrainer(nn.Module): def load(self, path): path = Path(path) assert path.exists() pkg = torch.load(str(path)) pkg = torch.load(str(path), map_location = 'cpu') self.unwrapped_soundstream.load_state_dict(pkg['model']) Loading Loading @@ -585,7 +585,7 @@ class SemanticTransformerTrainer(nn.Module): def load(self, path): path = Path(path) assert path.exists() pkg = torch.load(str(path)) pkg = torch.load(str(path), map_location = 'cpu') transformer = self.accelerator.unwrap_model(self.transformer) transformer.load_state_dict(pkg['model']) Loading Loading @@ -822,7 +822,7 @@ class CoarseTransformerTrainer(nn.Module): def load(self, path): path = Path(path) assert path.exists() pkg = torch.load(str(path)) pkg = torch.load(str(path), map_location = 'cpu') transformer = self.accelerator.unwrap_model(self.transformer) transformer.load_state_dict(pkg['model']) Loading Loading @@ -1054,7 +1054,7 @@ class FineTransformerTrainer(nn.Module): def load(self, path): path = Path(path) assert path.exists() pkg = torch.load(str(path)) pkg = torch.load(str(path), map_location = 'cpu') transformer = self.accelerator.unwrap_model(self.transformer) transformer.load_state_dict(pkg['model']) 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 = '0.14.0', version = '0.14.1', license='MIT', description = 'AudioLM - Language Modeling Approach to Audio Generation from Google Research - Pytorch', author = 'Phil Wang', Loading Loading
audiolm_pytorch/trainer.py +4 −4 Original line number Diff line number Diff line Loading @@ -262,7 +262,7 @@ class SoundStreamTrainer(nn.Module): def load(self, path): path = Path(path) assert path.exists() pkg = torch.load(str(path)) pkg = torch.load(str(path), map_location = 'cpu') self.unwrapped_soundstream.load_state_dict(pkg['model']) Loading Loading @@ -585,7 +585,7 @@ class SemanticTransformerTrainer(nn.Module): def load(self, path): path = Path(path) assert path.exists() pkg = torch.load(str(path)) pkg = torch.load(str(path), map_location = 'cpu') transformer = self.accelerator.unwrap_model(self.transformer) transformer.load_state_dict(pkg['model']) Loading Loading @@ -822,7 +822,7 @@ class CoarseTransformerTrainer(nn.Module): def load(self, path): path = Path(path) assert path.exists() pkg = torch.load(str(path)) pkg = torch.load(str(path), map_location = 'cpu') transformer = self.accelerator.unwrap_model(self.transformer) transformer.load_state_dict(pkg['model']) Loading Loading @@ -1054,7 +1054,7 @@ class FineTransformerTrainer(nn.Module): def load(self, path): path = Path(path) assert path.exists() pkg = torch.load(str(path)) pkg = torch.load(str(path), map_location = 'cpu') transformer = self.accelerator.unwrap_model(self.transformer) transformer.load_state_dict(pkg['model']) 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 = '0.14.0', version = '0.14.1', license='MIT', description = 'AudioLM - Language Modeling Approach to Audio Generation from Google Research - Pytorch', author = 'Phil Wang', Loading