not inferring

[tomas122727]

Error code C:\Users\tomas_000\miniconda3\envs\so_svc5\lib\site-packages\torch\nn\utils\weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm. warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.") Loading Fluttershy models\Fluttershy\singer\Fluttershy.spk.npy Traceback (most recent call last): File "M:\so-vits-svc-5.0-main\inference_gui.py", line 1149, in convert out_audio = self.infer_tool.infer( File "M:\so-vits-svc-5.0-main\inference_util.py", line 302, in infer vec = np.array(self.pred_vec(audio_data)) File "M:\so-vits-svc-5.0-main\inference_util.py", line 129, in pred_vec vec = self.hubert.units( File "C:\Users\tomas_000\miniconda3\envs\so_svc5\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, kwargs) File "M:\so-vits-svc-5.0-main\hubert\hubertmodel.py", line 71, in units x, = self.encode(wav) File "M:\so-vits-svc-5.0-main\hubert\hubert_model.py", line 42, in encode x = self.feature_projection(x.transpose(1, 2)) File "C:\Users\tomas_000\miniconda3\envs\so_svc5\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "C:\Users\tomas_000\miniconda3\envs\so_svc5\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(args, kwargs) File "M:\so-vits-svc-5.0-main\hubert\hubert_model.py", line 106, in forward x = self.norm(x) File "C:\Users\tomas_000\miniconda3\envs\so_svc5\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "C:\Users\tomas_000\miniconda3\envs\so_svc5\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(args, **kwargs) File "C:\Users\tomas_000\miniconda3\envs\so_svc5\lib\site-packages\torch\nn\modules\normalization.py", line 201, in forward return F.layer_norm( File "C:\Users\tomas_000\miniconda3\envs\so_svc5\lib\site-packages\torch\nn\functional.py", line 2546, in layer_norm return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled) RuntimeError: "LayerNormKernelImpl" not implemented for 'Half'

how to fix this also what python version am i suppose to install on my pc ?

[effusiveperiscope]

The hubert model is loaded in half precision mode to save memory. I suspect it may not work on CPU inference, but I am not in a position to test right now. Do you know if pytorch can see your GPU?

I do not know exactly what python version is required, but my conda environment for so-vits-svc 5.0 uses python 3.10.13.

[tomas122727]

yes it can

[tomas122727]

even my previous so vits 4.0 works fine and so vits svc 3.0 works fine

[tomas122727]

it also keeps saying this at launch INFO: Could not find files for the given pattern(s).

[tomas122727]

nevermind i just fixed it by reinstalling torchcrepe module

[tomas122727]

it wasnt compiled by cuda keep this issue archieved in case someone runs into this