Could not load dynamic library ‘libcudnn.so.7‘；

Could not load dynamic library ‘libcudnn.so.7’;

问题背景：

安装tensorflow2.0后， 并安装了cuda10.0以及cudnn7.4.2, 调用tf.test.is_gpu_available()返回False, 并报如下错误

 W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudnn.so.7'; dlerror: libcudnn.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda-10.0/lib64
2023-06-17 15:25:07.128275: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1641] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.

可以肯定的是， 我安装好了cuda10.0, 以及将cudnn对应的文件拷贝到了/usr/local/cuda-10.0/lib64以及/usr/local/cuda-10.0/include中， 并赋予了可读权限， 也配置了LD_LIBRARY_PATH环境变量， 在终端中使用echo $LD_LIBRARY_PATH也验证了环境变量， 可是在运行tensorflow代码的时候， 就是死活找不到LD_LIBRARY_PATH。

问题排查：

执行 ldconfig /usr/local/cuda-10.0/lib64, 若显示类似ldconfig is for unknown machine 21, 那么就找到问题所在了， 网上查了下是libcudnn文件和系统不兼容， 这个就是问题所在， 说明下载的cudnn和这台机器不兼容， 故到https://developer.nvidia.com/compute/machine-learning/cudnn/secure/v7.4.2/prod/10.0_20181213/cudnn-10.0-linux-x64-v7.4.2.24.tgz 下载了另外版本的cudnn, 重新安装并增加可读权限后问题解决