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

OSError: [WinError 1114] A dynamic link library (DLL) initialization routine failed. Error loading "C:\Users\Toby\Desktop\RVC\RVC1006Nvidia\runtime\lib\site-packages\torch\lib\cublas64_11.dll" or one of its dependencies.

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#2,019 opened on Apr 26, 2024

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help wanted

Description

Whenever I run go-realtime-gui I get this error:

C:\Users\Toby\Desktop\RVC\RVC1006Nvidia>runtime\python.exe guiv1.py Traceback (most recent call last): File "C:\Users\Toby\Desktop\RVC\RVC1006Nvidia\gui_v1.py", line 59, in import torch File "C:\Users\Toby\Desktop\RVC\RVC1006Nvidia\runtime\lib\site-packages\torch_init.py", line 122, in raise err OSError: [WinError 1114] A dynamic link library (DLL) initialization routine failed. Error loading "C:\Users\Toby\Desktop\RVC\RVC1006Nvidia\runtime\lib\site-packages\torch\lib\cublas64_11.dll" or one of its dependencies.

I have CUDA 11.8 installed with Pytorch 2.3.0. I've added environmental variables for CUDA bin and libnvvp. I've also tried reinstalling my drivers, Python and Cuda.

Contributor guide

Tech stack
pythonpytorch
Domain
backend
Issue type
bug
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
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.
needs maintainer response
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
None
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
25
Research direction
The error indicates that the DLL 'cublas64 11.dll' is failing to initialize. This is likely due to a CUDA version mismatch or missing dependencies. The user has CUDA 11.8 and PyTorch 2.3.0, but the DLL version might be incompatible. To resolve, first verify that the CUDA toolkit version matches PyTorch's requirement (e.g., PyTorch 2.3.0 requires CUDA 11.8). Check that the CUDA bin directory is in the PATH and that the Visual C++ redistributables are installed. Use tools like Dependency Walker to identify missing DLLs. Suggest reinstalling PyTorch from the official website with the exact CUDA version.