你可以访问NVIDIA的官方网站来下载和更新GPU驱动。 检查CUDA是否已正确安装。你可以通过运行nvcc --version命令来查看CUDA的版本信息。 如果CUDA未安装或版本不兼容,你需要按照NVIDIA的指南进行安装或更新。 通过以上步骤,你应该能够解决analysis_config.cc:125] please use paddlepaddle with gpu version的问题。如果问题...
'Cannot find available GPU devices, using CPU or other devices now. (Please check whether you can execute `nvidia-smi` command.)' ) gpu_count = 0 return 0 直接改成了0.,可行。然后就跑通了!!(paddle version2.2)
python -m pip install paddlepaddle-gpu==2.3.2.post116 -f https://www.paddlepaddle.org.cn/whl/windows/mkl/avx/stable.html C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6 覆盖了 cudnn-windows-x86_64-8.4.0.27_cuda11.6-archive 还是提示 gpu...
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Driver API Version: 12.3, Runtime API Version: 11.8 W1105 09:04:42.407253 12872 gpu_resources.cc:164] device: 0, cuDNN Version: 8.9. I1105 09:04:42.407253 12872 program_interpreter.cc:243] New Executor is Running. video_action_res: {'class': 1, 'score': 0.5839483} Thread: 0; frame...