`svc onnx` gives error messages, not loading in MoeSS

[ThrowawayAccount01]

When running svc onnx, I get the following warnings:

(venv) C:\Users\LXC PC\Desktop\sovits\venv\Scripts>svc onnx -i "C:\Users\LXC PC\Desktop\BackupTraining\sovits\hapiv2\200\G_4800.pth" -o "C:\Users\LXC PC\Desktop\BackupTraining\sovits\hapiv2\200" -c "C:\Users\LXC PC\Desktop\BackupTraining\sovits\hapiv2\config.json"
[15:53:00] INFO     [15:53:00] Version: 2.1.2                                                             __main__.py:20
[15:53:02] INFO     [15:53:02] Loaded checkpoint 'C:/Users/LXC                                              utils.py:426
                    PC/Desktop/BackupTraining/sovits/hapiv2/200/G_4800.pth' (iteration 219)
           WARNING  [15:53:02] C:\Users\LXC                                                              warnings.py:109
                    PC\Desktop\sovits\venv\lib\site-packages\torch\onnx\utils.py:2033: UserWarning: No
                    names were found for specified dynamic axes of provided input.Automatically
                    generated names will be applied to each dynamic axes of input c
                      warnings.warn(

           WARNING  [15:53:02] C:\Users\LXC                                                              warnings.py:109
                    PC\Desktop\sovits\venv\lib\site-packages\torch\onnx\utils.py:2033: UserWarning: No
                    names were found for specified dynamic axes of provided input.Automatically
                    generated names will be applied to each dynamic axes of input f0
                      warnings.warn(

           WARNING  [15:53:02] C:\Users\LXC                                                              warnings.py:109
                    PC\Desktop\sovits\venv\lib\site-packages\torch\onnx\utils.py:2033: UserWarning: No
                    names were found for specified dynamic axes of provided input.Automatically
                    generated names will be applied to each dynamic axes of input mel2ph
                      warnings.warn(

           WARNING  [15:53:02] C:\Users\LXC                                                              warnings.py:109
                    PC\Desktop\sovits\venv\lib\site-packages\torch\onnx\utils.py:2033: UserWarning: No
                    names were found for specified dynamic axes of provided input.Automatically
                    generated names will be applied to each dynamic axes of input uv
                      warnings.warn(

           WARNING  [15:53:02] C:\Users\LXC                                                              warnings.py:109
                    PC\Desktop\sovits\venv\lib\site-packages\torch\onnx\utils.py:2033: UserWarning: No
                    names were found for specified dynamic axes of provided input.Automatically
                    generated names will be applied to each dynamic axes of input noise
                      warnings.warn(

           WARNING  [15:53:02] C:\Users\LXC                                                              warnings.py:109
                    PC\Desktop\sovits\venv\lib\site-packages\so_vits_svc_fork\utils.py:281:
                    TracerWarning: Converting a tensor to a Python boolean might cause the trace to be
                    incorrect. We can't record the data flow of Python values, so this value will be
                    treated as a constant in the future. This means that the trace might not generalize
                    to other inputs!
                      assert f0_coarse.max() <= 255 and f0_coarse.min() >= 1, (

           WARNING  [15:53:02] C:\Users\LXC                                                              warnings.py:109
                    PC\Desktop\sovits\venv\lib\site-packages\so_vits_svc_fork\modules\attentions.py:307:
                    TracerWarning: Converting a tensor to a Python boolean might cause the trace to be
                    incorrect. We can't record the data flow of Python values, so this value will be
                    treated as a constant in the future. This means that the trace might not generalize
                    to other inputs!
                      t_s == t_t

           WARNING  [15:53:02] C:\Users\LXC                                                              warnings.py:109
                    PC\Desktop\sovits\venv\lib\site-packages\so_vits_svc_fork\modules\attentions.py:369:
                    TracerWarning: Converting a tensor to a Python boolean might cause the trace to be
                    incorrect. We can't record the data flow of Python values, so this value will be
                    treated as a constant in the future. This means that the trace might not generalize
                    to other inputs!
                      pad_length = max(length - (self.window_size + 1), 0)

           WARNING  [15:53:02] C:\Users\LXC                                                              warnings.py:109
                    PC\Desktop\sovits\venv\lib\site-packages\so_vits_svc_fork\modules\attentions.py:370:
                    TracerWarning: Converting a tensor to a Python boolean might cause the trace to be
                    incorrect. We can't record the data flow of Python values, so this value will be
                    treated as a constant in the future. This means that the trace might not generalize
                    to other inputs!
                      slice_start_position = max((self.window_size + 1) - length, 0)

           WARNING  [15:53:02] C:\Users\LXC                                                              warnings.py:109
                    PC\Desktop\sovits\venv\lib\site-packages\so_vits_svc_fork\modules\attentions.py:372:
                    TracerWarning: Converting a tensor to a Python boolean might cause the trace to be
                    incorrect. We can't record the data flow of Python values, so this value will be
                    treated as a constant in the future. This means that the trace might not generalize
                    to other inputs!
                      if pad_length > 0:

[15:53:03] WARNING  [15:53:03] C:\Users\LXC                                                              warnings.py:109
                    PC\Desktop\sovits\venv\lib\site-packages\torch\onnx\_internal\jit_utils.py:306:
                    UserWarning: Constant folding - Only steps=1 can be constant folded for opset >= 10
                    onnx::Slice op. Constant folding not applied. (Triggered internally at
                    C:\actions-runner\_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\jit\passe
                    s\onnx\constant_fold.cpp:181.)
                      _C._jit_pass_onnx_node_shape_type_inference(node, params_dict, opset_version)

[15:53:09] WARNING  [15:53:09] C:\Users\LXC                                                              warnings.py:109
                    PC\Desktop\sovits\venv\lib\site-packages\torch\onnx\utils.py:689: UserWarning:
                    Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice
                    op. Constant folding not applied. (Triggered internally at
                    C:\actions-runner\_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\jit\passe
                    s\onnx\constant_fold.cpp:181.)
                      _C._jit_pass_onnx_graph_shape_type_inference(

[15:53:12] WARNING  [15:53:12] C:\Users\LXC                                                              warnings.py:109
                    PC\Desktop\sovits\venv\lib\site-packages\torch\onnx\utils.py:1186: UserWarning:
                    Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice
                    op. Constant folding not applied. (Triggered internally at
                    C:\actions-runner\_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\jit\passe
                    s\onnx\constant_fold.cpp:181.)
                      _C._jit_pass_onnx_graph_shape_type_inference(

============= Diagnostic Run torch.onnx.export version 2.0.0+cu117 =============
verbose: False, log level: Level.ERROR
======================= 0 NONE 0 NOTE 0 WARNING 0 ERROR ========================

Afterwards, I tried using the generated onnx file in MoeSS, but it was not recognized.

[ThrowawayAccount01]

Any solutions?

[34j]

• Perhaps LEVEL is just ERROR, but no error is being output.
• The ONNX code is just copied directly and I never tried MoeSS

[ThrowawayAccount01]

I found a similar issue on the main so-vits-svc page, but I don't really understand what they are talking about:

https://github.com/svc-develop-team/so-vits-svc/issues/65