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I'm trying to install CUDA, but I get a message saying "No supported version of visual studio was found". I think that this is because I am using Visual Studio 2017 (Community), and CUDA currently only supports up to Visual Studio 2015. Unfortunately, Microsoft will not allow me to download old versions of Visual Studio without paying a subscription fee.

Is there a way I can get around the compatibility issue with VS 2017, or can I not use CUDA?

1. If you want to install CUDA 8.0 with Visual Studio 2017 you need to install additional components for Visual Studio 2017.
   
   Click on the Start Menu and type Visual Studio Installer. Open Visual Studio Installer
   
   Open Individual components tab and select VC++ 2015.3 v140 toolset
   
   under Compilers, build tools and runtimes.

2. You also need to install .NET Framework 3.5 if you didn't have it installed.
   Nvda.Build.CudaTasks.v8.0.dll assembly dependents on MS .NET Framework 3.5.

Open Classical Control Panel, go to Programs and features
and press Turn Windows features on or off. Check .NET Framework 3.5 and press OK.

3. Download full CUDA toolkit distribution and extract it somewhere on your disk.


4. If you didn't have CUDA toolkit installed, do it now. If you have only Visual Studio 2017 installed, unselect Visual Studio integration checkbox.

Now you want to receive the "No supported version of the visual studio was found" error.

But in order to successfully build Cuda toolkit projects in Visual Studio 2017, you also need to follow steps 5 and 6.

5. Go to the CUDAVisualStudioIntegrationextrasvisual_studio_integrationMSBuildExtensions
   folder in your extracted distribution, copy all the files and paste them to
   C:Program Files (x86)MSBuildMicrosoft.Cppv4.0v140BuildCustomizations:

6. In the last step, you will need to edit your Cuda projects to recognize NVidia's build tasks from Visual Studio 2017. Open your .vcxproj file in a text editor and find all occurrences of CUDA 8.0.props. Replace the macro at the beginning of the string with $(VCTargetsPath14) so that XML snippet would look as follows:

<ImportGroup Label="ExtensionSettings">
<Import Project="$(VCTargetsPath14)BuildCustomizationsCUDA 8.0.props" /></ImportGroup>

Don't forget to edit the custom targets path at the end of the file:

<ImportGroup Label="ExtensionTargets">
<Import Project="$(VCTargetsPath14)BuildCustomizationsCUDA 8.0.targets" /></ImportGroup>

Make sure to double check your path conifuration!

If you use nvcc from command prompt you might not be calling cl.exe from Visual Studio folder!

Now you can build your Cuda project from Visual Studio 2017.

Parts of this solution are from Oleg Tarasov blog.

At the moment, Microsoft still seems to be making VS2015 Update 2 community edition available. You have to join the "dev essentials" program, but it seems to be free.

I was able to download the installer from here recently.

Update: CUDA 9 RC was made available yesterday at developer.nvidia.com to registered developers, and it has support for VS 2017.

Thank you everyone for your help. I just wanted to supplement this post with the last pieces of the puzzle. CUDA v9.0 RC is looking for VS2017 to identify as 1910 but the latest update actually identifies as 1911. To fix open .../CUDA/v9.0/include/crt/host_config.h and change this line:
#if _MSC_VER < 1600 || _MSC_VER > 1910

to this:
#if _MSC_VER < 1600 || _MSC_VER > 1911

You may also have to add the following to your CMakeLists:
list(APPEND CUDA_NVCC_FLAGS --cl-version=2017)

For people seeing this latter.

First, try to just install CUDA 10 (CUDA Toolkit 10.0).

If it still doesn't work without any mods make sure that you have as many VC++ toolsets as you see on the list. Check out this video, stop at 8:41 and compare the lists.

If for some reason you have to use CUDA 9.0 - 9.2 you will need to jump some hoops:

• For cmd builds set vcvars_ver=14.11 - see this answer
  


• For IDE builds set Platform Toolset (in project properties - General) to
  
  
  
  
  • Visual Studio 2017 (v141)) or
  
  
  • Visual Studio 2015 (v140))
  
  
  
  

If you have very customized cmd based build, hunt #if _MSC_VER (in .../CUDA/.../include/crt/host_config.h) and remove trailing || _MSC_VER > ...

In order to get working Cuda compiler nvcc in windows shell you need to do following

1. install proper toolset version from individual component for VS 2017 - VC++ 2017 version 15.4 v.14.11 toolset




2. Run in windows shell following "c:Program Files (x86)Microsoft Visual Studio2017CommunityVCAuxiliaryBuildvcvarsall.bat" x64 -vcvars_ver=14.11




3. You can compile nvcc code without errors from windows shell

I ran into the same issue using CUDA 9.1 and VS2017 Enterprise.

After changing the VC++ compiler to v140 (instead of 141) everything runs fine.

Already had flags

#if _MSC_VER < 1600 || _MSC_VER > 1911

But it wouldn't stop showing the error.

No idea why, but trying to run it on VS2015 lead to errors about v141 not being installed... so because of some twisted logic I tried to not use v141 where it was installed... and everything worked!!

Leaving this here as it may help someone else in the same situation. (although I really don't understand the why, how, when, who or what of the solution.