問題：Cuda安裝中提示could not fine compatible graphic hardware（截圖如下），並最終安裝失敗，查看失敗項是：visual studio integration failed。
解決方案：清理cuda環境，安裝基礎網卡驅動再安裝cuda。
I had the same problem and finally I could find a solution. Visual Studio integration failed every time. I tried all possible combinations and nothing worked (Visualstudio 2010, VisualStudio 2017, Cuda 9.1.85, 9.0, 8.0, 7.5). I also tried reinstall windows 10 in all possible ways. Fortunately the method sugested by @oregonduckman and orangesherbet0 worked for me (https://devtalk.nvidia.com/default/topic/1033111/cuda-setup-and-installation/cuda-9-1-cannot-install-due-to-failed-visual-studio-integration/):
Step 1: Install the standard VGA driver:
1. Bring up the Windows Device Manager. You can do that my right-clicking on the Start button and then select Device Manager.
2. Expand the "Display Adapter" list, right-click on the GeForce card and then select "Update Driver Software".
3. Click "Browse my computer for driver software".
4. Then click the "Let me pick from a list of device drivers on my computer".
5. Uncheck the "Show compatible hardware" option.
6. Under the "Manufacture" scroll to the top and select the "(Standard display type)" and then click "Next". If you are running multiple GPUs then repeat steps #2 - #6 for each GPU.
7. Restart Windows. This will basically load the standard VGA driver.
Step 2: Delete all Cuda reference:
1. In Windows Services, stop all nvidia services
2. Delete all nvidia files from C:\ProgramData, C:\Program Files, C:\Program Files(x86).
3. Proceed with cuda installation.
Step 3: Install correct version Nvidia graphic dirver, if not, tensorflow will not find cuda capatible graphic device and lead to an error "ImportError: Could not find 'nvcuda.dll'. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH% environment variable".
eg. I must install GF 1060 MaxQ dirver.
could not fine compatible graphic hardware其它可能導致的原因是cuda中驅動的版本低於機器已安裝版本，此時解決方案是安裝cuda時自定義不安裝驅動。還有一些歪招是禁用非Nvidia顯卡。
