funasr/models/frontend/wav_frontend.py @@ -146,7 +146,7 @@ feats_lens = torch.as_tensor(feats_lens) if batch_size == 1: feats_pad = feats[None, :, :] feats_pad = feats[0][None, :, :] else: feats_pad = pad_sequence(feats, batch_first=True,
