RVC-Project / RVC-Project/Retrieval-based-Voice-Conversion-WebUI
error when training in colab
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Description
Traceback (most recent call last):
File "/content/Retrieval-based-Voice-Conversion-WebUI/extract_feature_print.py", line 13, in
version = sys.argv[6]
IndexError: list index out of range
['extract_f0_print.py', '/content/Retrieval-based-Voice-Conversion-WebUI/logs/gema_lausurpadora', '2', 'harvest']
todo-f0-41
f0ing,now-0,all-41,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/gema_lausurpadora/1_16k_wavs/0_0.wav
todo-f0-41
f0ing,now-0,all-41,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/gema_lausurpadora/1_16k_wavs/0_2.wav
f0ing,now-8,all-41,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/gema_lausurpadora/1_16k_wavs/11_6.wav
f0ing,now-8,all-41,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/gema_lausurpadora/1_16k_wavs/11_5.wav
f0ing,now-16,all-41,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/gema_lausurpadora/1_16k_wavs/14_1.wav
f0ing,now-16,all-41,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/gema_lausurpadora/1_16k_wavs/13_8.wav
f0ing,now-24,all-41,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/gema_lausurpadora/1_16k_wavs/3_1.wav
f0ing,now-24,all-41,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/gema_lausurpadora/1_16k_wavs/2_8.wav
f0ing,now-32,all-41,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/gema_lausurpadora/1_16k_wavs/6_4.wav
f0ing,now-32,all-41,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/gema_lausurpadora/1_16k_wavs/6_2.wav
f0ing,now-40,all-41,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/gema_lausurpadora/1_16k_wavs/9_6.wav
f0ing,now-40,all-41,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/gema_lausurpadora/1_16k_wavs/9_4.wav
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/gradio/routes.py", line 414, in run_predict
output = await app.get_blocks().process_api(
File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1320, in process_api
result = await self.call_function(
File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1064, in call_function
prediction = await utils.async_iteration(iterator)
File "/usr/local/lib/python3.10/dist-packages/gradio/utils.py", line 514, in async_iteration
return await iterator.anext()
File "/usr/local/lib/python3.10/dist-packages/gradio/utils.py", line 507, in anext
return await anyio.to_thread.run_sync(
File "/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", line 31, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 937, in run_sync_in_worker_thread
return await future
File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 867, in run
result = context.run(func, *args)
File "/usr/local/lib/python3.10/dist-packages/gradio/utils.py", line 490, in run_sync_iterator_async
return next(iterator)
File "/content/Retrieval-based-Voice-Conversion-WebUI/infer-web.py", line 956, in train1key
& set([name.split(".")[0] for name in os.listdir(co256_dir)])
FileNotFoundError: [Errno 2] No such file or directory: '/content/Retrieval-based-Voice-Conversion-WebUI/logs/gema_lausurpadora/3_feature256'
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 reading extract_feature_print.py at line 13 and infer-web.py around train1key at line 956, then reproduce the Colab training failure using the shown arguments and paths. Done means training no longer raises the missing-argument or missing-directory errors and proceeds past feature extraction.
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
- 25/100