RVC-Project
推理模型时出错
使用的显卡是 intel iris Xe，操作系统是win11 报错时使用的是之前在其他地方训练的模型，但更换至示例模型时也会报错
D:\RVC1006AMD_Intel\RVC1006AMD_Intel1>runtime\python.exe infer-web.py --pycmd runtime\python.exe --port 7897 --dml 2024-11-01 17:45:40 | INFO | configs.config | No supported Nvidia GPU found 2024-11-01 17:45:40 | INFO | configs.config | overwrite v1/32k.json 2024-11-01 17:45:40 | INFO | configs.config | overwrite v1/40k.json 2024-11-01 17:45:40 | INFO | configs.config | overwrite v1/48k.json 2024-11-01 17:45:40 | INFO | configs.config | overwrite v2/48k.json 2024-11-01 17:45:40 | INFO | configs.config | overwrite v2/32k.json 2024-11-01 17:45:40 | INFO | configs.config | overwrite preprocess_per to 3 2024-11-01 17:45:40 | INFO | configs.config | Use DirectML instead 2024-11-01 17:45:40 | INFO | configs.config | Half-precision floating-point: False, device: privateuseone:0 2024-11-01 17:45:42 | INFO | main | Use Language: zh_CN Running on local URL: http://0.0.0.0:7897 2024-11-01 17:45:51 | INFO | infer.modules.vc.modules | Get sid: 嗲嗲（芸芸）.pth 2024-11-01 17:45:51 | INFO | infer.modules.vc.modules | Loading: assets/weights/嗲嗲（芸芸）.pth 2024-11-01 17:45:52 | INFO | infer.modules.vc.modules | Select index: 2024-11-01 17:48:55 | WARNING | infer.modules.vc.modules | Traceback (most recent call last): File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\infer\modules\vc\modules.py", line 188, in vc_single audio_opt = self.pipeline.pipeline( File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\infer\modules\vc\pipeline.py", line 375, in pipeline self.vc( File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\infer\modules\vc\pipeline.py", line 271, in vc audio1 = (net_g.infer(*arg)[0][0, 0]).data.cpu().float().numpy() File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\infer\lib\infer_pack\models.py", line 791, in infer m_p, logs_p, x_mask = self.enc_p(phone, pitch, phone_lengths) File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\runtime\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\infer\lib\infer_pack\models.py", line 71, in forward x = self.encoder(x * x_mask, x_mask) File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\runtime\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\infer\lib\infer_pack\attentions.py", line 69, in forward y = attn_layers(x, x, attn_mask) File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\runtime\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\infer\lib\infer_pack\attentions.py", line 227, in forward x, _ = self.attention(q, k, v, mask=attn_mask) File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\infer\lib\infer_pack\attentions.py", line 278, in attention relative_weights = self._absolute_position_to_relative_position(p_attn) File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\infer\lib\infer_pack\attentions.py", line 373, in _absolute_position_to_relative_position x_final = x_flat.view([batch, heads, length, 2 * length])[:, :, :, 1:] RuntimeError
Traceback (most recent call last): File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\runtime\lib\site-packages\gradio\routes.py", line 321, in run_predict output = await app.blocks.process_api( File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\runtime\lib\site-packages\gradio\blocks.py", line 1007, in process_api data = self.postprocess_data(fn_index, result["prediction"], state) File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\runtime\lib\site-packages\gradio\blocks.py", line 953, in postprocess_data prediction_value = block.postprocess(prediction_value) File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\runtime\lib\site-packages\gradio\components.py", line 2076, in postprocess processing_utils.audio_to_file(sample_rate, data, file.name) File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\runtime\lib\site-packages\gradio\processing_utils.py", line 206, in audio_to_file data = convert_to_16_bit_wav(data) File "D:\RVC1006AMD_Intel\RVC1006AMD_Intel1\runtime\lib\site-packages\gradio\processing_utils.py", line 219, in convert_to_16_bit_wav if data.dtype in [np.float64, np.float32, np.float16]: AttributeError: 'NoneType' object has no attribute 'dtype'
2025-10-04 14:41:29 | INFO | infer.modules.vc.modules | Get sid: raikov_model.pth 2025-10-04 14:41:29 | INFO | infer.modules.vc.modules | Loading: assets/weights/raikov_model.pth 2025-10-04 14:41:32 | INFO | infer.modules.vc.modules | Select index: 2025-10-04 14:43:08 | INFO | infer.modules.vc.pipeline | Loading rmvpe model,assets/rmvpe/rmvpe.pt 2025-10-04 14:43:09.8423923 [W:onnxruntime:, session_state.cc:1169 onnxruntime::VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf. 2025-10-04 14:43:09.8634355 [W:onnxruntime:, session_state.cc:1171 onnxruntime::VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.
D:\RVC1006AMD_Intel\RVC1006AMD_Intel1>pause 请按任意键继续. . .
似乎依然存在问题……