RVC-Project / RVC-Project/Retrieval-based-Voice-Conversion-WebUI
AttributeError: 'NoneType' object has no attribute 'dtype'
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Description
2024-06-16 20:55:29 | WARNING | infer.modules.vc.modules | Traceback (most recent call last):
File "C:\RVC\RVC1006Nvidia\infer\modules\vc\modules.py", line 185, in vc_single
audio_opt = self.pipeline.pipeline(
File "C:\RVC\RVC1006Nvidia\infer\modules\vc\pipeline.py", line 410, in pipeline
self.vc(
File "C:\RVC\RVC1006Nvidia\infer\modules\vc\pipeline.py", line 235, in vc
score, ix = index.search(npy, k=8)
File "C:\RVC\RVC1006Nvidia\runtime\lib\site-packages\faiss_init_.py", line 341, in replacement_search
assert d == self.d
AssertionError
Traceback (most recent call last):
File "C:\RVC\RVC1006Nvidia\runtime\lib\site-packages\gradio\routes.py", line 321, in run_predict
output = await app.blocks.process_api(
File "C:\RVC\RVC1006Nvidia\runtime\lib\site-packages\gradio\blocks.py", line 1007, in process_api
data = self.postprocess_data(fn_index, result["prediction"], state)
File "C:\RVC\RVC1006Nvidia\runtime\lib\site-packages\gradio\blocks.py", line 953, in postprocess_data
prediction_value = block.postprocess(prediction_value)
File "C:\RVC\RVC1006Nvidia\runtime\lib\site-packages\gradio\components.py", line 2076, in postprocess
processing_utils.audio_to_file(sample_rate, data, file.name)
File "C:\RVC\RVC1006Nvidia\runtime\lib\site-packages\gradio\processing_utils.py", line 206, in audio_to_file
data = convert_to_16_bit_wav(data)
File "C:\RVC\RVC1006Nvidia\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'
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by tracing infer/modules/vc/modules.py:185 into infer/modules/vc/pipeline.py:235 and the index.search call at pipeline.py:410, then reproduce the reported inference failure. Compare the FAISS dimension assertion with the later Gradio NoneType error; done means the original failure is diagnosed and inference has a verified, user-visible outcome.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100