8/30/2023 0 Comments Uninstall nvidia cuda toolkit 7.5![]() ![]() You will most probably find the missing utility functions there and then you can include the necessary headers accordingly. 0 Comments The resulting binaries are under './bin' directory:rwxrwxr-x 3 xxxx xxxx 4096 Mar 6 14:32. If you are following a book, my recommendation is try to compile the code, and whenever you get an error saying a utility function is missing, do a grep search in the header files included in samples/common/inc. helper_cuda.h is a header I almost always include in my CUDA programs since I find utility functions such as checkCudaErrors() very useful. So I installed CUDA 9.0 and cudnn 7, but later I found out that I require CUDA 8 and cudnn 6 in my environment. Helpers like these should be located in somewhere like /usr/local/cuda/samples/common/inc in your OS. Create a directory with links to gcc5 and g++5 and put it first thing on the PATH. However, looking at the samples, you can find some newer utility headers such as helper_cuda.h being in use. The latest CUDA Toolkit (compiler) that supports this GPU is 8.0 and thus gcc 5. Also looking at other related questions on SO, it seems like this header file does not exist in CUDA installations anymore (since CUDA 5.0). The fact that you are able to compile and run samples means that you probably installed the Toolkit fully and have the SDK, the driver, and the Samples at least.Īs for the cutil.h, doing a search in my CUDA 6.5 installation with find -L. the CUDA Toolkit, run the uninstall script in /usr/local/cuda-7. It has also many other components such as CUDA-debugger, profiler, memory checker, etc. Other than those 3 (NVIDIAs driver, CUDA 9, CUDNN 7), I only use dnf to install. Nvidia Driver (system driver for driving the card).GUI Tools (such as Eclipse Nsight for Linux/OS X or Visual Studio Nsight for Windows).CUDA SDK (The compiler, NVCC, libraries for developing CUDA software, and CUDA samples).Moreover, CUDA SDK 10.0 can be used with VS 2012 up to 2017. Compute capabilities among graphic cards: At least CUDA SDK 10.0 is required to be able to use your graphic card. For RTX 2060, compute capability 7.5 is required. CUDA Toolkit is a software package that has different components. 1 Answer Sorted by: 0 First of all, Compute Capability is NOT same as CUDA version. ![]()
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