Install cudnn on linux

Install cudnn

source: http://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html
2.3. Installing cuDNN on Linux
The following steps describe how to build a cuDNN dependent program. 
Choose the installation method that meets your environment needs. 
For example, the tar file installation applies to all Linux platforms. 
The debian installation package applies to Ubuntu 14.04 and 16.04.

In the following sections:
your CUDA directory path is referred to as /usr/local/cuda/
your cuDNN download path is referred to as <cudnnpath>
2.3.1. Installing from a Tar File
Navigate to your <cudnnpath> directory containing the cuDNN Tar file.
Unzip the cuDNN package.
$ tar -xzvf cudnn-9.0-linux-x64-v7.tgz
Copy the following files into the CUDA Toolkit directory.
$ sudo cp cuda/include/cudnn.h /usr/local/cuda/include
$ sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
$ sudo chmod a+r /usr/local/cuda/include/cudnn.h
/usr/local/cuda/lib64/libcudnn*
2.3.2. Installing from a Debian File
Navigate to your <cudnnpath> directory containing cuDNN Debian file.
Install the runtime library, for example:
sudo dpkg -i libcudnn7_7.0.3.11-1+cuda9.0_amd64.deb
Install the developer library, for example:
sudo dpkg -i libcudnn7-dev_7.0.3.11-1+cuda9.0_amd64.deb
Install the code samples and the cuDNN Library User Guide, for example:
sudo dpkg -i libcudnn7-doc_7.0.3.11-1+cuda9.0_amd64.deb