安装cuda后遇到的问题（Ubuntu）

1.Could not load library libcudnn_cnn_infer.so.8. Error: libcuda.so: cannot open shared object file: No such file or directory.Please make sure libcudnn_cnn_infer.so.8 is in your library path!

        未添加环境变量。执行下面语句，添加。

 export PATH=/usr/local/cuda-11.8/bin${PATH:+:${PATH}}

  export LD_LIBRARY_PATH=/usr/local/cuda-11.8/lib64/stubs/:/usr/local/cuda-11.8/lib64:/usr/local/cuda-11.8/cudnn/lib:$LD_LIBRARY_PATH

2. UserWarning: CUDA initialization: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 34: CUDA driver is a stub library (Triggered internally at  /opt/conda/conda-bld/pytorch_1659484809535/work/c10/cuda/CUDAFunctions.cpp:109.)return torch._C._cuda_getDeviceCount() > 0

        重新安装版本匹配的pytorch-cuda。

        用下面的代码测试。

import torch

# 检查是否有可用的GPU

if torch.cuda.is_available():

    device_count = torch.cuda.device_count()

    print(f"当前系统中可用的GPU数量为：{device_count}")

else:

    print("未检测到可用的GPU")

         解决：