Loading audiolm_pytorch/data.py +4 −0 Original line number Diff line number Diff line Loading @@ -68,6 +68,10 @@ class SoundDataset(Dataset): assert data.numel() > 0, f'one of your audio file ({file}) is empty. please remove it from your folder' if data.shape[0] > 1: # the audio has more than 1 channel, convert to mono data = torch.mean(data, dim=0).unsqueeze(0) num_outputs = len(self.target_sample_hz) data = cast_tuple(data, num_outputs) Loading Loading
audiolm_pytorch/data.py +4 −0 Original line number Diff line number Diff line Loading @@ -68,6 +68,10 @@ class SoundDataset(Dataset): assert data.numel() > 0, f'one of your audio file ({file}) is empty. please remove it from your folder' if data.shape[0] > 1: # the audio has more than 1 channel, convert to mono data = torch.mean(data, dim=0).unsqueeze(0) num_outputs = len(self.target_sample_hz) data = cast_tuple(data, num_outputs) Loading