Loading audiolm_pytorch/trainer.py +2 −2 Original line number Diff line number Diff line Loading @@ -305,7 +305,7 @@ class SoundStreamTrainer(nn.Module): accum_log(logs, dict( loss = loss.item() / self.grad_accum_every, recon_loss = recon_loss / self.grad_accum_every recon_loss = recon_loss.item() / self.grad_accum_every )) if exists(self.max_grad_norm): Loading Loading @@ -521,7 +521,7 @@ class SemanticTransformerTrainer(nn.Module): self.results_folder.mkdir(parents = True, exist_ok = True) hps = {"num_train_steps": num_train_steps, "data_max_length": data_max_length, "learning_rate": lr} self.accelerator.init_trackers("semenatic", config=hps) self.accelerator.init_trackers("semantic", config=hps) def save(self, path): pkg = dict( Loading Loading
audiolm_pytorch/trainer.py +2 −2 Original line number Diff line number Diff line Loading @@ -305,7 +305,7 @@ class SoundStreamTrainer(nn.Module): accum_log(logs, dict( loss = loss.item() / self.grad_accum_every, recon_loss = recon_loss / self.grad_accum_every recon_loss = recon_loss.item() / self.grad_accum_every )) if exists(self.max_grad_norm): Loading Loading @@ -521,7 +521,7 @@ class SemanticTransformerTrainer(nn.Module): self.results_folder.mkdir(parents = True, exist_ok = True) hps = {"num_train_steps": num_train_steps, "data_max_length": data_max_length, "learning_rate": lr} self.accelerator.init_trackers("semenatic", config=hps) self.accelerator.init_trackers("semantic", config=hps) def save(self, path): pkg = dict( Loading