Quick Solution

Recommended environment

• python version: 3.8|3.9

• pip source: https://pypi.org(default)

Previous problems and solutions in issues

**Here are some problems that occurred in the previous issues. Due to the updating of dependency packages and code, these contents have certain timeliness.

• AttributeError: 'HParams' object has no attribute 'all_in_mem'

This error is due to an update that add a new feature, which is controled by all_in_mem in config.json. The config.json in your preprocessed dataset saved previously did not include this key.

• Solution:

  • Update your config.json by executing python preprocess_flist_config.py. Note: It will also generate a new filelist/train.txt

  • So it is more recommended to add a all_in_mem in config.json manually.

    "port": "8001",
-   "keep_ckpts": 3
+   "keep_ckpts": 3,
+   "all_in_mem": false
  },
  "data": {

• RuntimeError: output with shape[1,256] doesn't match the broadcast shape[200,256]
  RuntimeError: output with shape[1,256] doesn't match the broadcast shape[2,256]

This error is due to the n_speaker in config.json does not match the actual number of speaker embidding weight in models(G_0.pth, D_0.pth).

This is likely because you are training with a model that has been used by others.

• Solution:

  • output with shape[*,256] doesn't match the broadcast shape[200,256]

    • Set the n_speaker in config.json to 200 , and so on if there is another number.

  • output with shape[*,256] doesn't match the broadcast shape[2,256]

    • Set the n_speaker in config.json to 2 , and so on if there is another number.

• RuntimeError: istft requires a complex-valued input tensor matching the output from stft with return_complex=True.

Traceback (most recent call last):
  File "train.py", line 435, in <module>
    main()
  File "train.py", line 59, in main
    cpurun(0, 1, hps)
  File "train.py", line 174, in cpurun
    train_and_evaluate(rank, epoch, hps, [net_g, net_d], [optim_g, optim_d], [scheduler_g, scheduler_d],
  File "train.py", line 219, in train_and_evaluate
    pred_lf0, loss_f0, norm_f0 = net_g(c, c_lengths, f0,uv, mel, mel_lengths, spk_id=spkid)
  File "C:\Users\29099\.conda\envs\vits4.0v2\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "G:\so-vits-svc\models.py", line 985, in forward
    noise_x = self.dec_noise(p_z, y_mask)
  File "C:\Users\29099\.conda\envs\vits4.0v2\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "G:\so-vits-svc\models.py", line 621, in forward
    istft_x = torch.istft(spec, self.fft_size, self.hop_size, self.win_size, self.window.to(amp), False,
RuntimeError: istft requires a complex-valued input tensor matching the output from stft with return_complex=True.

• Solution:

  • Try not to use pytorch 2.0.

• ImportError: numpy.core.multiarray failed to import

Process Process-1:
Traceback (most recent call last):
File "init.pxd", line 943, in numpy.import_array
RuntimeError: module compiled against API version 0x10 but this version of numpy is 0xf . Check the section C-API incompatibility at the Troubleshooting ImportError section at https://numpy.org/devdocs/user/troubleshooting-importerror.html#c-api-incompatibility for indications on how to solve this problem .

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/data/anaconda3/envs/sovits/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap
self.run()
File "/data/anaconda3/envs/sovits/lib/python3.8/multiprocessing/process.py", line 108, in run
self._target(*self._args, **self._kwargs)
File "/data/home/gxl/so-vits-svc/preprocess_hubert_f0.py", line 44, in process_batch
process_one(filename, hmodel)
File "/data/home/gxl/so-vits-svc/preprocess_hubert_f0.py", line 34, in process_one
f0 = utils.compute_f0_dio(wav, sampling_rate=sampling_rate, hop_length=hop_length)
File "/data/home/gxl/so-vits-svc/utils.py", line 156, in compute_f0_dio
import pyworld
File "/data/anaconda3/envs/sovits/lib/python3.8/site-packages/pyworld/init.py", line 7, in
from .pyworld import *
File "pyworld/pyworld.pyx", line 6, in init pyworld.pyworld
File "init.pxd", line 945, in numpy.import_array
ImportError: numpy.core.multiarray failed to import

• Solution:

  • pip install numpy==1.23.5
  • pip install -U scipy librosa numba
  • pip install numpy==1.23.5 if numpy is overwrote