RVC-Project/Retrieval-based-Voice-Conversion-WebUI

Crash on inference with longer file

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#1,113 opened on Aug 28, 2023

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Description

obraz Short files were converting correctly. I've tried to use a longer song and this keeps happening.

G:\Downloads\RVC0813>runtime\python.exe infer-web.py --pycmd runtime\python.exe --port 7897 --dml
No supported Nvidia GPU found
use DirectML instead
Use Language: en_US
Running on local URL:  http://0.0.0.0:7897
loading weights/ilutest6.pth
gin_channels: 256 self.spk_embed_dim: 109
<All keys matched successfully>
loading rmvpe model
2023-08-28 18:40:20.7873460 [W:onnxruntime:, session_state.cc:1169 onnxruntime::VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.
2023-08-28 18:40:20.7920688 [W:onnxruntime:, session_state.cc:1171 onnxruntime::VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.

G:\Downloads\RVC0813>pause
Press any key to continue . . .

Contributor guide

Research direction
Investigate the crash when processing longer audio files. Check for memory constraints, input chunking, or ONNX runtime limitations. Trace the inference pipeline to identify where it fails. Compare with successful short file processing.
Tech stack
pythonpytorch
Domain
backendaudio video rtc
Issue type
Bug
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
PythonGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70