如何用vs2017打开cuda8工程

  1. If you want to install CUDA 8.0 with Visual Studio 2017 you need to install additional components for Visual Studio 2017.

    Open Individual components tab and select VC++ 2015.3 v140 toolset
    under Compilers, build tools and runtimes.

如何用vs2017打开cuda8工程

  1. 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.

如何用vs2017打开cuda8工程

  1. Download full CUDA toolkit distribution and extract it somewhere on your disk.
  2. 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 receive the "No supported version of 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.

  1. Go to the CUDAVisualStudioIntegration\extras\visual_studio_integration\MSBuildExtensions
    folder in your extracted distribution, copy all the files and paste them to
    C:\Program Files (x86)\MSBuild\Microsoft.Cpp\v4.0\v140\BuildCustomizations:

如何用vs2017打开cuda8工程

  1. 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)\BuildCustomizations\CUDA 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)\BuildCustomizations\CUDA 8.0.targets" />

</ImportGroup>

  1. If you want to install CUDA 8.0 with Visual Studio 2017 you need to install additional components for Visual Studio 2017.

    Open Individual components tab and select VC++ 2015.3 v140 toolset
    under Compilers, build tools and runtimes.

如何用vs2017打开cuda8工程

  1. 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.

如何用vs2017打开cuda8工程

  1. Download full CUDA toolkit distribution and extract it somewhere on your disk.
  2. 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 receive the "No supported version of 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.

  1. Go to the CUDAVisualStudioIntegration\extras\visual_studio_integration\MSBuildExtensions
    folder in your extracted distribution, copy all the files and paste them to
    C:\Program Files (x86)\MSBuild\Microsoft.Cpp\v4.0\v140\BuildCustomizations:

如何用vs2017打开cuda8工程

  1. 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)\BuildCustomizations\CUDA 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)\BuildCustomizations\CUDA 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!

如何用vs2017打开cuda8工程

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

Parts of this solution are from Oleg Tarasov blog.