模型微调，执行extract_speech_token出现报错

[wjddd]

运行tools/extract_speech_token.py出现以下报错：

Traceback (most recent call last):
  File "extract_speech_token.py", line 64, in <module>
    main(args)
  File "extract_speech_token.py", line 54, in main
    speech_token = ort_session.run(None, {ort_session.get_inputs()[0].name: feat.detach().cpu().numpy(),
  File "/usr/local/lib/python3.8/dist-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 220, in run
    return self._sess.run(output_names, input_feed, run_options)
onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Got invalid dimensions for input: feats for the following indices
 index: 0 Got: 2 Expected: 1
 Please fix either the inputs or the model.

请问这个是模型的问题还是数据的问题？

[wjddd]

已解决，训练音频要求为单声道。

[clearlove-civ6]

感谢