and to test this, I used a docker container with a image from docker hub'snvidia/cuda:11.7.1-cudnn8-runtime-ubuntu22.04on ubuntu, wsl2. I successfully built the image but when I run it, this error shows up:
(tf3.8) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite>bandwidthTest.exe [CUDA Bandwidth Test] - Starting... Running on... cudaGetDeviceProperties returned 100 -> no CUDA-capable device is detected CUDA error at C:/dvs/p4/build/sw/rel/gpgpu/toolkit...
I followed the directions for the "Linux NVIDIA GPU support and Windows-WSL" section, and below is what my WSL now shows, but I'm still getting "no CUDA-capable device is detected". What am I missing? $ PGPT_PROFILES=local poetry run python -m private_gpt 15:37:57.892 [INFO ] pri...
Error code: no CUDA-capable device is detected CUDA exception! Error code: initialization error CUDA SETUP: CUDA runtime path found: /usr/local/cuda-11.7/lib64/libcudart.so /home/win10-ubuntu/anaconda3/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: ...
Baixe e instale odriver para WSL habilitado para NVIDIA CUDAe use-o com seus fluxos de trabalho existentes do CUDA ML. Para obter mais informações sobre como instalar o driver, consulte: Introdução ao CUDA no WSL 2 CUDA no Subsistema do Windows para Linux (WSL) ...
That’s some homebrew cuda packaging, looks like it’s built for WSL2. Can’t help you with that but not even necessary since cuda 11.6 won’t work with your Ada gen gpu. You should use cuda 12 with that. system关闭2023 年11 月 6 日 15:1812 ...
a acelerar sua GPU para ajudar no treinamento de modelos de Machine Learning (ML), introduzindo conceitos como paralelismo e, em seguida, mostrando como configurar e executar seu fluxo de trabalho completo de ML (incluindo aceleração de GPU) com NVIDIA CUDA e TensorFlow no WSL 2. ...
I tried out your suggestion, using the imagetensorflow/tensorflow:2.12.0-gpu, instead oftensorflow/tensorflow:latest-gpu, but it still reports the same errorCUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected. Meanwhile, I also run nvidia driver utilitynvidia-smi. It is able to find the...
E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected 2021-04-22 22:29:08.617089: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-7CR4M12 2021-...
I'm using Ubuntu 22.04.3 in WSL2 is /dev/shm/ a ramdisk? does it mean my 64G of ram is not enough? can I set it to use my ssd instead? complete log: bluevisor@AMD3090:/mnt/c/grok-1$ python3 run.py INFO:jax._src.xla_bridge:Unable to initialize backend 'rocm': NOT_FOUND...