你这台mac压根不具备N卡的（NVIDIA）,你怎么装gpu,你下载的CUDA根本不可能在你的这台mac上装起来。No GPU Detected：没有检测到GPU。这个跳出来不影响的，叉掉就好了。之所以一直会跳出来是因为你的CUDA安装了，只不过打不开而已。你想要这个框以后不跳出来，把电脑上CUDA相关的下载包，安装包全卸掉...
/home/sush/miniconda3/envs/llm/lib/python3.9/site-packages/bitsandbytes/cuda_setup/main.py:145: UserWarning: WARNING: No GPU detected! Check your CUDA paths. Proceeding to load CPU-only library... warn(msg) CUDA SETUP: Loading binary /home/sush/miniconda3/envs/llm/lib/python3.9/site-pac...
git_commits: Not Found gpu_cuda: No global version found. Check Conda packages for Conda Cuda gpu_cudnn: No global version found. Check Conda packages for Conda cuDNN gpu_devices: gpu_devices_active: gpu_driver: No Nvidia driver found gpu_vram: os_machine: AMD64 os_platform: Windows-10...
解决安装 ollama 在 wsl2 中报 WARNING: No NVIDIA/AMD GPU detected. Ollama will run in CPU-only mode.问题 首先要确保wsl2 版的 cuda 环境已经安装 [非必须]如果已安装了环境但是nvidia-smi找不到,可能是未加入环境变量,请将它的路径/usr/lib/wsl/lib加入 PATH...
Windows下使用John The Ripper检测不到GPU 解决: 如果你确定电脑的显卡及驱动支持opencl, 那么将C:\Windows\System32\OpenCL.dll (n卡也可能是nvopencl.dll,A卡可以搜索下类似的文件,我自己是N卡没法测试) (另外在C:\Windows\SysWOW64里也有个,不过我试的不行,system32的可以) ...
I am sorry that you are experiencing an issue with the Intel® Arc™ GPU not being detected by the Operating System. We appreciate that you take the time to share this workaround with the community. We also wanted to let you know that we are actively investigating and w...
A GPU device is not found on your computer. Without a dedicated GPU device, the tool will execute with the processing power of the CPU. Solution The tool will execute with or without a GPU. For more details on technical aspects of using GPUs with this tool, ...
I'm having trouble running tensorflow on gpu, and it does not seems to be the usual cuda's configuration problem, because everything seems to indicate cuda is properly setup. The main symptom: when running tensorflow, my gpu is not detected (the code being run, andits output). ...
问题描述 Issue Description cuda12.2 安装paddlepaddle==2.61后,训练报“ Cannot use GPU because there is no GPU detected on your machine” 版本&环境信息 Version & Environment Information CUDA:12.2 python:3.9