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4 months ago Logs are required for review from WSL team
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Download and execute [collect-wsl-logs.ps1](https://github.com/Microsoft/WSL/blob/master/diagnostics/collect-wsl-logs.ps1) in an **administrative powershell prompt**: ``` Invoke-WebRequest -UseBasicParsing "https://raw.githubusercontent.com/microsoft/WSL/master/diagnostics/collect-wsl-logs.ps1" -OutFile collect-wsl-logs.ps1 Set-ExecutionPolicy Bypass -Scope Process -Force .\collect-wsl-logs.ps1 ``` The scipt will output the path of the log file once done. Once completed please upload the output files to this Github issue. [Click here for more info on logging](https://github.com/microsoft/WSL/blob/master/CONTRIBUTING.md#8-collect-wsl-logs-recommended-method) If you choose to email these logs instead of attaching to the bug, please send them to wsl-gh-logs@microsoft.com with the number of the github issue in the subject, and in the message a link to your comment in the github issue and reply with '/emailed-logs'.View similar issues
Please view the issues below to see if they solve your problem, and if the issue describes your problem please consider closing this one and thumbs upping the other issue to help us prioritize it!
Open similar issues:
- [GPU and pytorch related]: after cuda installation, 'nvcc -V' works fine but 'nvidia-smi' returns errors. While using pytorch (python), 'torch.cuda.is_available()' always returns 'false' in wsl. (#7056), similarity score: 0.79
- WSL 2.0 Windows 11 insider build GPU-Util ERR! (#7162), similarity score: 0.73
- Failed to initialize NVML: GPU access blocked by the operating system (#9938), similarity score: 0.73
Closed similar issues:
- NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver (#9640), similarity score: 0.75
- CUDA not working on WSL2 (#7336), similarity score: 0.74
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Spirit4471
OneBlue
onomatopellan
ab77c
Windows Version
Microsoft Windows [Version 10.0.22631.3593]
WSL Version
WSL version: 2.1.5.0
Are you using WSL 1 or WSL 2?
Kernel Version
5.15.146.1
Distro Version
Ubuntu 22.04
Other Software
Visual Studio Code
Repro Steps
CUDA 11.7 PyTorch 1.13 cuDNN
Expected Behavior
Actual Behavior
nvidia-smi output: Wed May 15 21:49:41 2024
+---------------------------------------------------------------------------------------+ | NVIDIA-SMI 545.46 Driver Version: 546.80 CUDA Version: ERR! | |-----------------------------------------+----------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+======================+======================| | 0 NVIDIA GeForce RTX 3060 ... On | 00000000:01:00.0 On | N/A | | N/A 54C P8 16W / 80W | 816MiB / 6144MiB | 3% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=======================================================================================| | No running processes found | +---------------------------------------------------------------------------------------+
nvcc --version: nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2022 NVIDIA Corporation Built on Tue_May__3_18:49:52_PDT_2022 Cuda compilation tools, release 11.7, V11.7.64 Build cuda_11.7.r11.7/compiler.31294372_0
Only the first I configure wsl2+Ubuntu+CUDA+Python+PyTorch development environment, the code worked, after I reboot the computer, my code can't get avaliable cuda and GPU.
Diagnostic Logs
No response