开始训练后报错，大佬们帮我看看是什么问题

[XPRAMT]

(so-vits) C:\APP\AI Art\Sound\so-vits-svc_4.0>python train.py -c configs/config.json -m 44k
INFO:44k:{'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 1234, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 4, 'fp16_run': False, 'lr_decay': 0.999875, 'segment_size': 10240, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 512, 'port': '8001', 'keep_ckpts': 3}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 44100, 'filter_length': 2048, 'hop_length': 512, 'win_length': 2048, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': 22050}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0.1, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [8, 8, 2, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 200}, 'spk': {'hanser': 0}, 'model_dir': './logs\\44k'}
WARNING:44k:C:\APP\AI Art\Sound\so-vits-svc_4.0 is not a git repository, therefore hash value comparison will be ignored.
INFO:torch.distributed.distributed_c10d:Added key: store_based_barrier_key:1 to store for rank: 0
INFO:torch.distributed.distributed_c10d:Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 1 nodes.
./logs\44k\G_0.pth
error, emb_g.weight is not in the checkpoint
INFO:44k:emb_g.weight is not in the checkpoint
load
INFO:44k:Loaded checkpoint './logs\44k\G_0.pth' (iteration 0)
./logs\44k\D_0.pth
load
INFO:44k:Loaded checkpoint './logs\44k\D_0.pth' (iteration 0)
Traceback (most recent call last):
  File "C:\APP\AI Art\Sound\so-vits-svc_4.0\train.py", line 311, in <module>
    main()
  File "C:\APP\AI Art\Sound\so-vits-svc_4.0\train.py", line 52, in main
    mp.spawn(run, nprocs=n_gpus, args=(n_gpus, hps,))
  File "C:\Users\XPRAMT\anaconda3\envs\so-vits\lib\site-packages\torch\multiprocessing\spawn.py", line 240, in spawn
    return start_processes(fn, args, nprocs, join, daemon, start_method='spawn')
  File "C:\Users\XPRAMT\anaconda3\envs\so-vits\lib\site-packages\torch\multiprocessing\spawn.py", line 198, in start_processes
    while not context.join():
  File "C:\Users\XPRAMT\anaconda3\envs\so-vits\lib\site-packages\torch\multiprocessing\spawn.py", line 160, in join
    raise ProcessRaisedException(msg, error_index, failed_process.pid)
torch.multiprocessing.spawn.ProcessRaisedException:

-- Process 0 terminated with the following error:
Traceback (most recent call last):
  File "C:\Users\XPRAMT\anaconda3\envs\so-vits\lib\site-packages\torch\multiprocessing\spawn.py", line 69, in _wrap
    fn(i, *args)
  File "C:\APP\AI Art\Sound\so-vits-svc_4.0\train.py", line 120, in run
    train_and_evaluate(rank, epoch, hps, [net_g, net_d], [optim_g, optim_d], [scheduler_g, scheduler_d], scaler,
  File "C:\APP\AI Art\Sound\so-vits-svc_4.0\train.py", line 142, in train_and_evaluate
    for batch_idx, items in enumerate(train_loader):
  File "C:\Users\XPRAMT\anaconda3\envs\so-vits\lib\site-packages\torch\utils\data\dataloader.py", line 628, in __next__
    data = self._next_data()
  File "C:\Users\XPRAMT\anaconda3\envs\so-vits\lib\site-packages\torch\utils\data\dataloader.py", line 1333, in _next_data
    return self._process_data(data)
  File "C:\Users\XPRAMT\anaconda3\envs\so-vits\lib\site-packages\torch\utils\data\dataloader.py", line 1359, in _process_data
    data.reraise()
  File "C:\Users\XPRAMT\anaconda3\envs\so-vits\lib\site-packages\torch\_utils.py", line 543, in reraise
    raise exception
NotImplementedError: Caught NotImplementedError in DataLoader worker process 0.
Original Traceback (most recent call last):
  File "C:\Users\XPRAMT\anaconda3\envs\so-vits\lib\site-packages\torch\utils\data\_utils\worker.py", line 302, in _worker_loop
    data = fetcher.fetch(index)
  File "C:\Users\XPRAMT\anaconda3\envs\so-vits\lib\site-packages\torch\utils\data\_utils\fetch.py", line 58, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "C:\Users\XPRAMT\anaconda3\envs\so-vits\lib\site-packages\torch\utils\data\_utils\fetch.py", line 58, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "C:\APP\AI Art\Sound\so-vits-svc_4.0\data_utils.py", line 88, in __getitem__
    return self.get_audio(self.audiopaths[index][0])
  File "C:\APP\AI Art\Sound\so-vits-svc_4.0\data_utils.py", line 53, in get_audio
    spec = spectrogram_torch(audio_norm, self.filter_length,
  File "C:\APP\AI Art\Sound\so-vits-svc_4.0\modules\mel_processing.py", line 63, in spectrogram_torch
    y = torch.nn.functional.pad(y.unsqueeze(1), (int((n_fft-hop_size)/2), int((n_fft-hop_size)/2)), mode='reflect')
NotImplementedError: Only 2D, 3D, 4D, 5D padding with non-constant padding are supported for now