If you run the executable by double-clicking on it, just follow the on-screen directions and the toolkit will be installed. It will also install some sample code to help starters. The CUDA toolkit will also install the required GPU drivers, along with the required libraries and header files to develop CUDA applications. Will download each required file at once and won’t require an Internet connection later to install. Will initially be a very small executable, which will download the required files when run. − Select the type of installation that you would like to perform. − Visit − and select the desired operating system. In this section, we will see how to install the latest CUDA toolkit. If you do not have a CUDA capable GPU, or a GPU, then halt. − Open a RUN window and run the command − Verifying if your system has a CUDA capable GPU Otherwise, first install the required software. If you have a supported version of Windows and Visual Studio, then proceed. Presently, only the GeForce series is supported for 32b CUDA applications. You can download the latest CUDA toolkit from here.Īs can be seen from the above tables, support for x86_32 is limited. − Link with the 32-bit libs in \lib (instead of \lib64). For compiling CUDA programs to 32b, follow these steps − 32b applications can be developed on x86_64 using the cross-development capabilities of the CUDA toolkit. That is, you cannot develop 32b CUDA applications natively (exception: they can be developed only on the GeForce series GPUs). Note that natively, CUDA allows only 64b applications. In this chapter, we will learn how to install CUDA.įor installing the CUDA toolkit on Windows, you’ll need −Ī supported version of Microsoft Windows. Install CUDA without Visual Studio Integration (you need to choose Custom instead of Express installation)Ĭ:\cuda_9.2.88_win10\CUDAVisualStudioIntegration\extras\visual_studio_integration\MSBuildExtensionsĬ:\Program Files (x86)\Microsoft Visual Studio\2017\Community\Common7\IDE\VC\VCTargets\BuildCustomizationsĬ:\cuda_9.2.88_win10\CUDAVisualStudioIntegration\extras\visual_studio_integration\CudaProjectVsWizardsĬ:\Program Files (x86)\Microsoft Visual Studio\2017\Community\Common7\IDE\Extensions\CUDAĬ:\Program Files (x86)\Microsoft Visual Studio\2017\Community\Common7\IDEĬ:\cuda_9.2.88_win10\CUDAVisualStudioIntegration Unzip CUDA installer like an archive into a directory, say Thanks for your answer.įollowing this suggestion, here's how I installed CUDA 9.2 for Visual Studio 2017 15.6.7:Ĭurrent Visual Studio 2017 version is 15.7.3, so I had to download an earlier version from here. With the first attempt, I install successfully CUDA with Visual Studio 2017 15.6.6 VC 2017 v141 with Visual Studio Integration.Ĭan someone point me in the right way? I cannot figure out fix it. Now I am with Visual Studio 2017 15.4.5 and only VC 2015.3 140 (141 is not installed), NVIDIA 397.31, but still getting the same error. If I try to install CUDA without Visual Studio Integration, I can successfully install CUDA (not tried to compile OpenCV).īefore the second attempt, I removed all NVIDIA components (driver and so on), used DDU, removed Visual Studio with all components (launched also InstallCleanup.exe), run CCleaner. Launching CUDA installation with the following command:Īnd looking into the log file, I find thatĮRROR: : Package "visual_studio_integration_9.1" failed with error: Exception. On the second attempt, I followed what suggested here and here, but I cannot successfully install CUDA. I checked on the internet and I found a lot info about the error. With the first attempt, all seems working until I tried to compile OpenCV 3.4.1 with CUDA support on Visual Studio 2017 15.6.6. I am trying to install CUDA Toolkit 9.1.85 on my machine.
0 Comments
Leave a Reply. |