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1. Nvidia cuda toolkit 10.0 wont install .exe#
2. Nvidia cuda toolkit 10.0 wont install update#
3. Nvidia cuda toolkit 10.0 wont install driver#

Number: 6.1 Total amount of global memory: 11264 Version 10.0 / 10.0 CUDA Capability Major/Minor version

Nvidia cuda toolkit 10.0 wont install driver#

The program then ran from a cmd prompt and gave the following output.ĬUDA Device Query (Runtime API) version (CUDART static linking)ĭevice 0: "GeForce GTX 1080 Ti" CUDA Driver Version / Runtime

Nvidia cuda toolkit 10.0 wont install .exe#

exe ends up in C:\ProgramData\NVIDIA Corporation\CUDA Samples\v10.0\bin\win64\Debug) I have built the recommended demo devicequery.exe using Visual Studio 2017 from the vs solution in C:\ProgramData\NVIDIA Corporation\CUDA Samples\v10.0\1_Utilities\deviceQuery (note that the. I now CUDA 10.0 installed and the nVidia control panel reports nvcuda.dll as v 10.0.132 This is mostly an extended comment, since ask for updates.

Can this particular issue be resolved more simply?.

How could I diagnose such issues in future to work out where the issue is/what to do.How can I completely remove all trace of CUDA to start again from a clean slate?.I did successfully build and run the Nvidia sample clock project in VS 2017 so the basics were OK (then)

Nvidia cuda toolkit 10.0 wont install update#

Update Found it in C:\Windows\System32ĭespite uninstalls, I still have CudaXYZWizardsPackage in the registry under the key Computer\HKEY_USERS.DEFAULT\Software\Microsoft\VisualStudio\14.0_Config\InstalledProducts with XYZ = 90, 91, 100, 101 - but I doubt this is the issue for TF in Python ) Update there is nothing in C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\Common7\IDE\Extensions\NVIDIA except for 10.0 so just orphan reg entries. nvidia-smi.exe reports CUDA 10.1 (yes, it is available on my Win 10) - but checking through the registry I can't find anything to suggest CUDA 10.1 is lingering there. Update 2 I found nvcuda64.dll v 10.0.132 in the driver store and replaced nvcuda.dll in system32 with it after reboot, nvidia-smi now reports no CUDA version at all :(.old in system32 and reran the CUDA 10.0 installer. Check all environment variables - removed everything that referred to CUDA != 10.0.Switch from game ready driver to "Studio" driver.Updating cudnn files: tried 1st with the originals and then cudnn files v7.6.3.30 copied to bin, include, lib as appropriate.Old CUDA installations - 9.0, 9.1, 10.0, 10.1: all except 10.0 uninstalled and PC rebooted 10.0 installer then run again.Potential issues & resolution actions so far This suggests that a key file cannot be found, but I can't work out the root cause - and there are very few hits on that error info, none of which helped me. Status: cudaGetErrorString symbol not found I get this error in the basic Python test To test TF, I ran this to validate the installation(Jupyter notebook via Anaconda - freshly built TF2 environment) import tensforflow as tf I initially thought TF2 was OK with CUDA 10.1 and so first installed 10.1 and only later found out that it must be CUDA 10. I have previously had CUDA 9.x running on this Win 10 64-bit Home system (targeting 1080Ti card), but need to update to CUDA 10.0 for TensorFlow 2.