I was following the instructions for installing CUDA on WSL2 using the instructions here: https://medium.com/swlh/how-to-install-the-nvidia-cuda-driver-and-toolkit-in-wsl2-46e2161c91d8 which got me farther than the official instructions on NVIDIA's site. These are the specific steps: I ...
2024-02-04 13:19:26.399574: I external/tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used. >>> exit() The above output was encountered after installing JAX on WSL2 (Ubuntu 22.04) with the cuda12_local wheel. Specifically, the command...
by dropping WSL2 support from Windows Server LTSC entirely... I am not sure why such strange decisions are being made. If we want multiple users + a desktop environment + CUDA on a command line, we are out of luck. Microsoft is leaving us without any option here,...
by dropping WSL2 support from Windows Server LTSC entirely... I am not sure why such strange decisions are being made. If we want multiple users + a desktop environment + CUDA on a command line, we are out of luck. Microsoft is leaving us without any option here, other than ...
🐛 Bugs / Unexpected behaviors I'm trying to install pytorch3D on Windows 11 + Python 3.11, within WSL2 and with CUDA 12.2. I'm using the nightly build for Pytorch 2.01 for CUDA 12.1. Pytorch installs fine. Then I tried to install pytorch...
The CUDA driver installed on Windows host will be stubbed inside the WSL 2 as libcuda.so, therefore users must not install any NVIDIA GPU Linux driver within WSL 2 This was the clue that pointed to the solution. In the WSL Ubuntu environment, the CUDA stublibcuda.sois ...
by dropping WSL2 support from Windows Server LTSC entirely... I am not sure why such strange decisions are being made. If we want multiple users + a desktop environment + CUDA on a command line, we are out of luck. Microsoft is leaving us without any option here, other than ...
Now, Microsoft appears to be dropping the ball again, by dropping WSL2 support from Windows Server LTSC entirely... I am not sure why such strange decisions are being made. If we want multiple users + a desktop environment + CUDA on a command line, we are out of luck. Microso...
I was able to INSTALL vllm on ms windows(not WSL). But I still meet runtime errors which be hard to resolve. this is what I did: install nvidia tool kit 12.1 do not call 'pip install vllm'. because pip will install pytorch(CPU version) and you know vllm must have CUDA now. ...
I think path should be in "PATH", not "CUDA_PATH...". You can try previous "b103" release. GPU RAM is used up to 1.7 GB. So far, subtitle edit behaves exactly the same. However, SUBTITLE EDIT only creates an empty subtitle file after that and finishes. With the standalone binary...