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[GH-ISSUE #20] AttributeError: 'NoneType' object has no attribute 'dtype' #18
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Originally created by @shirounanashi on GitHub (Mar 19, 2024).
Original GitHub issue: https://github.com/RVC-Project/Retrieval-based-Voice-Conversion/issues/20
When I try to make an inference by outputting the file name, I get this error.
And when I put "-o" as a folder, it gives an error saying it is a directory
Sorry for the bad English, I used Google Translate
@alcoftTAO commented on GitHub (Mar 19, 2024):
I also had this error, in my case it was because my GPU ran out of memory.
I don't know if this is the case for you too, but I would recommend checking your GPU memory while doing the inference.
@shirounanashi commented on GitHub (Mar 19, 2024):
@alcoftTAO I don't think that's the problem here since I was using a T4
@alcoftTAO commented on GitHub (Mar 19, 2024):
I think an error is occurring during inference as it is returning
Noneto scipy.If you are using the API, make sure to put this:
Where you replace
{model.pth}with the .pth file of your model,{input audio path}with the audio file you want to make the inference to and{output audio path}with the file in which you want to save it.I don't know if it will work as I have never used the API.
If it doesn't work, try creating the output audio first and try again.
@shirounanashi commented on GitHub (Mar 19, 2024):
I don't think this is the problem since I'm using CLI, not API
@Tps-F commented on GitHub (Mar 22, 2024):
@shirounanashi could you tell me your environment?
@shirounanashi commented on GitHub (Mar 22, 2024):
@Tps-F I was trying to use it on Kaggle
@wegylexy commented on GitHub (Jan 11, 2025):
github.com/RVC-Project/Retrieval-based-Voice-Conversion@fde29c73b5/rvc/modules/vc/pipeline.py (L138)The
rmvpe_gpuoption is not implemented. Switching tormvpeworks for me but it runs on CPU then.@alcoftTAO commented on GitHub (Jan 11, 2025):
Try using:
@wegylexy commented on GitHub (Jan 12, 2025):
Then the web-facing part of the API needs to translate that
rmvpe_gputormvpeand enable cuda when invoking the internal.@agonzalezd commented on GitHub (Jan 22, 2025):
Happened to me once when processing audio 8/9. Removed the rest of audios and it worked with the one that failed.
I hope this info further helps on this issue.