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rtx2080ti Runtime API error 73 #51
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I try to run bundlefusion with nvidia rtx2080S and the ProgramCU.cu file didn't work. Have you solved your problem? |
The code can compile, however can not work on 2080. Hope for a solution. |
When I use GTX2080, the program stops at
cmd will only print "Test begin!", and will stops at cudaMemcpy(). |
I am also observing the mentioned GPU hangs. I submitted a respective pull request (see #56) to fix this issue. Until it gets eventually merged, you can apply and try the changes locally on your machines. |
@wangniancai Hi,I came across the same error, and I have fixed it in my case. This error is from the CMakeLists configuration, cause I run it in RTX 2070, but the default config for"nvcc -arch " is sm_61, which corresponds to the GTX 1080, so I just modify the "set(CUDA_NVCC_FLAGS -arch=sm_61;-03;-G;-g;-std=c++11)" to "set(CUDA_NVCC_FLAGS -arch=sm_75;-03;-G;-g;-std=c++11)" in CMakeLists.txt(around row 55). And finally, it worked.
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Running on notebook with RTX 2070 doesn't work. Notebook CPU Kerne GHZ max GHz Display NVIDIA Geforce (RTX) 2070 : nvidia-smi [8GB - cuda cores: 2304] First error: terminate called after throwing an instance of 'ml::MLibException' |
My laptop's GPU is GTX1050, I have checked
I think the problem is same with yours. Have you solved this? |
No, is still not working. Perhaps my NVIDIA Geforce (RTX) 2070 : nvidia-smi [8GB - cuda cores: 2304] has to less memory or BundleFusion need to much. But I don't see a possibility to increase my memory. On the other hand I don't see a way to reduce the memory consumption from BundleFusion. So I can't do anything. I have reached a blind alley. |
hi,did you fix this problem at last? I met the same problem:( |
I met the same problem, I use RTX 30 with CUDA11. |
I try to run bundlefusion with nvidia rtx2080 ti ,cude error ,Source\SiftGPU\SiftPyramid.cpp(387) : cudaSafeCall() Runtime API error 73: an illegal instruction was encountered.
1080& 1080ti worked
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