Cuda script

https://developer.nvidia.com/cuda-downloads?target_os=Windows&target_arch=x86_64

install cudnn


In order to download cuDNN, ensure you are registered for the NVIDIA Developer Program.

Go to: NVIDIA cuDNN home page.
Click Download.
Complete the short survey and click Submit.
Accept the Terms and Conditions. A list of available download versions of cuDNN displays.
Select the cuDNN version to want to install. A list of available resources displays.
Extract the cuDNN archive to a directory of your choice.
4.3. Installing cuDNN on Windows
The following steps describe how to build a cuDNN dependent program. In the following sections the CUDA v9.0 is used as example:
Your CUDA directory path is referred to as C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0
Your cuDNN directory path is referred to as <installpath>
Navigate to your <installpath> directory containing cuDNN.
Unzip the cuDNN package.
cudnn-9.0-windows7-x64-v7.zip
or
cudnn-9.0-windows10-x64-v7.zip
Copy the following files into the CUDA Toolkit directory.
Copy <installpath>\cuda\bin\cudnn64_7.dll to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\bin.
Copy <installpath>\cuda\ include\cudnn.h to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\include.
Copy <installpath>\cuda\lib\x64\cudnn.lib to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\lib\x64.
Set the following environment variables to point to where cuDNN is located. To access the value of the $(CUDA_PATH) environment variable, perform the following steps:
Open a command prompt from the Start menu.
Type Run and hit Enter.
Issue the control sysdm.cpl command.
Select the Advanced tab at the top of the window.
Click Environment Variables at the bottom of the window.
Ensure the following values are set:
Variable Name: CUDA_PATH 
Variable Value: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0
Include cudnn.lib in your Visual Studio project.
Open the Visual Studio project and right-click on the project name.
Click Linker > Input > Additional Dependencies.
Add cudnn.lib and click OK.