Errors for some reason. about thorsten-voice HOT 6 CLOSED

(TTS) D:\AI\Testing\TTS>python train_vits.py
 > Setting up Audio Processor...
 | > sample_rate:44100
 | > resample:False
 | > num_mels:80
 | > log_func:np.log10
 | > min_level_db:0
 | > frame_shift_ms:None
 | > frame_length_ms:None
 | > ref_level_db:None
 | > fft_size:1024
 | > power:None
 | > preemphasis:0.0
 | > griffin_lim_iters:None
 | > signal_norm:None
 | > symmetric_norm:None
 | > mel_fmin:0
 | > mel_fmax:None
 | > pitch_fmin:None
 | > pitch_fmax:None
 | > spec_gain:20.0
 | > stft_pad_mode:reflect
 | > max_norm:1.0
 | > clip_norm:True
 | > do_trim_silence:False
 | > trim_db:60
 | > do_sound_norm:False
 | > do_amp_to_db_linear:True
 | > do_amp_to_db_mel:True
 | > do_rms_norm:False
 | > db_level:None
 | > stats_path:None
 | > base:10
 | > hop_length:256
 | > win_length:1024
 | > Found 15425 files in D:\AI\Testing\TTS\dataset\dataset\LJSpeech-1.1
 > Training Environment:
 | > Backend: Torch
 | > Mixed precision: False
 | > Precision: float32
 | > Current device: 0
 | > Num. of GPUs: 1
 | > Num. of CPUs: 12
 | > Num. of Torch Threads: 6
 | > Torch seed: 54321
 | > Torch CUDNN: True
 | > Torch CUDNN deterministic: False
 | > Torch CUDNN benchmark: False
 | > Torch TF32 MatMul: False
 > Start Tensorboard: tensorboard --logdir=D:\AI\Testing\TTS\vits_premier1-April-24-2024_07+11PM-dbf1a08a

 > Model has 83059180 parameters

 > EPOCH: 0/1000
 --> D:\AI\Testing\TTS\vits_premier1-April-24-2024_07+11PM-dbf1a08a


> DataLoader initialization
| > Tokenizer:
        | > add_blank: True
        | > use_eos_bos: False
        | > use_phonemes: True
        | > phonemizer:
                | > phoneme language: en-us
                | > phoneme backend: espeak
| > Number of instances : 15271
 | > Preprocessing samples
 | > Max text length: 200
 | > Min text length: 2
 | > Avg text length: 82.88874336978587
 |
 | > Max audio length: 668115
 | > Min audio length: 42336
 | > Avg audio length: 217587.1818479471
 | > Num. instances discarded samples: 0
 | > Batch group size: 20.

 > TRAINING (2024-04-24 19:13:15)
Traceback (most recent call last):
  File "D:\anaconda3\envs\TTS\lib\site-packages\trainer\trainer.py", line 1833, in fit
    self._fit()
  File "D:\anaconda3\envs\TTS\lib\site-packages\trainer\trainer.py", line 1785, in _fit
    self.train_epoch()
  File "D:\anaconda3\envs\TTS\lib\site-packages\trainer\trainer.py", line 1503, in train_epoch
    for cur_step, batch in enumerate(self.train_loader):
  File "D:\anaconda3\envs\TTS\lib\site-packages\torch\utils\data\dataloader.py", line 631, in __next__
    data = self._next_data()
  File "D:\anaconda3\envs\TTS\lib\site-packages\torch\utils\data\dataloader.py", line 1346, in _next_data
    return self._process_data(data)
  File "D:\anaconda3\envs\TTS\lib\site-packages\torch\utils\data\dataloader.py", line 1372, in _process_data
    data.reraise()
  File "D:\anaconda3\envs\TTS\lib\site-packages\torch\_utils.py", line 722, in reraise
    raise exception
RuntimeError: Caught RuntimeError in DataLoader worker process 0.
Original Traceback (most recent call last):
  File "D:\anaconda3\envs\TTS\lib\site-packages\torch\utils\data\_utils\worker.py", line 308, in _worker_loop
    data = fetcher.fetch(index)
  File "D:\anaconda3\envs\TTS\lib\site-packages\torch\utils\data\_utils\fetch.py", line 54, in fetch
    return self.collate_fn(data)
  File "D:\AI\Testing\TTS\TTS\tts\models\vits.py", line 343, in collate_fn
    wav_padded[i, :, : wav.size(1)] = torch.FloatTensor(wav)
RuntimeError: The expanded size of the tensor (1) must match the existing size (2) at non-singleton dimension 0.  Target sizes: [1, 44982].  Tensor sizes: [2, 44982]