WebSep 10, 2024 · It may be the problem in your case, try to remove ProfilerActivity.CUDA and maybe aten::copy_ cudaHostAlloc cudaLaunchKernel and aten::repeat will have a much smaller CPU time and will disappear from the table. Share Improve this answer Follow answered Sep 16, 2024 at 13:30 François Darmon 131 6 Add a comment Your Answer WebMar 25, 2024 · Thanks. Actually, I think “num_gangs” together with “num_workers” should be valid, of course, if I am not missing anything. I made up this example based on a similar one (Figure 15.5) in “Programming Massively Parallel Processors: A Hands-on Approach” by D.B.Kirk and W.W.Hwu, which is as follows:
Error cudaErrorOperatingSystem: OS call failed or operation not ...
WebDec 22, 2024 · undefined symbol: cudaLaunchKernel #52. Open zhw2024913 opened this issue Dec 22, 2024 · 2 comments Open undefined symbol: cudaLaunchKernel #52. zhw2024913 opened this issue Dec 22, 2024 · 2 comments Comments. Copy link zhw2024913 commented Dec 22, 2024. Does anyone have this problem? Please help … WebDec 2, 2015 · warning: Cuda API error detected: cudaLaunch returned (0x2) i tried to debug the launch and added --keep flag however i reached up to cuda_runtime.h … flu in scotland
cuda - Error: Launch out of resources (0x7) without using the …
WebNov 16, 2024 · 2. I am trying to run the example add.cu (see below) from this official nvidia tutorial using nvcc add.cu -o add_cuda; ./add_cuda and get Segmentation fault (core dumped). I installed the nvidia cuda toolkit on Ubuntu 18 using sudo apt install nvidia-cuda-toolkit. I have a NVIDIA GF100GL Quadro 5000 and am using NVIDIA driver … WebSep 12, 2024 · With what arguments? cudaLaunchKernel takes a function pointer, which is resolved within the executing application, and AFAIK depends on the executable having specific symbols and state set-up. Fair point, I don’t know how to get that function pointer. Maybe I can create a single C function that does it for me. Will investigate and come back. WebApr 19, 2024 · Option 1, which directly calls the cudaLaunchKernel, works. However, option 2, which indirectly invokes the cudaLaunchKernel, does not work. Using option 2, no message was printed from the device, and the return value is not equal to CUDA_SUCCESS. I was wondering if anyone has any insights into this problem. flu in seattle today