环境：
- Ubuntu16.04
- Nvidia 384
- CUDA 8.0
- cuDNN 5
错误
TensorFlow、CUDA、cuDNN的版本关系小白我时常懵懵的，经常出现各种不支持的情况，比如今天安装了TensorFlow1.4，报错:
ImportError: libcudnn.so.6: cannot open shared object file: No such file or dictionary
错误缘由
google了一圈发现， 问题出在 TensorFlow 1.4-gpu 是基于cuDNN6，需要的也就是libcudnn.so.6了。
解决方案：
- Just download cuDNN v6 and follow the steps (Tested on Ubuntu 16.04,CUDA toolkit 8.0 )https://developer.nvidia.com/cudnn
$ tar xvzf cudnn-8.0-linux-x64-v5.1-ga.tgz
$ sudo cp -P cuda/include/cudnn.h /usr/local/cuda/include
$ sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda/lib64
$ sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn* - Now set Path variables
$ vim ~/.bashrc 翻到最底部加上： export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64" export CUDA_HOME=/usr/local/cuda
