I am solving this question. In the NEXT.
sudo ln -sf /usr/local/cuda-11.5/targets/x86_64-linux/lib/libcudnn_adv_train.so.8.3.0 /usr/local/cuda-11.5/targets/x86_64-linux/lib/libcudnn_adv_train.so.8
sudo ln -sf /usr/local/cuda-11.5/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8.3.0 /usr/local/cuda-11.5/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8
sudo ln -sf /usr/local/cuda-11.5/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8.3.0 /usr/local/cuda-11.5/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8
sudo ln -sf /usr/local/cuda-11.5/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8.3.0 /usr/local/cuda-11.5/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8
sudo ln -sf /usr/local/cuda-11.5/targets/x86_64-linux/lib/libcudnn_ops_train.so.8.3.0 /usr/local/cuda-11.5/targets/x86_64-linux/lib/libcudnn_ops_train.so.8
sudo ln -sf /usr/local/cuda-11.5/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8.3.0 /usr/local/cuda-11.5/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8
if your cuda not like me, you should change the cuda-11.5 into your cuda