Comments (4)
seems that it failed to disable CPU code when compiling with GPU. I've just committed a new version. You may have a try.
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@shijiashuai I already solve this error. in thundersvm/kernel/*.cu, Make the following changes:
#ifdef USE_CUDA
#include <thrust/sort.h>
#include <thrust/system/cuda/detail/par.h>
#include "thundersvm/kernel/smo_kernel.h"
........
#endif
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Sounds good.
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@zccyman your solution will disable GPU codes, and CPU codes (in kernel/*.cpp) will be used. Although this may compile successfully, other issues will appear when you run the program.
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Related Issues (20)
- trouble installing HOT 2
- trouble predict
- failed on 1st step: cudaErrorInvalidDevice: invalid device ordinal
- ThunderSVM requires libcusparse.10 even when compiling with CUDA 11.3 HOT 1
- 问题咨询 HOT 2
- performance
- thundersvm vs sklearn-svm(python) HOT 1
- Error in "make" (Ubuntu GPU) HOT 4
- Memory limit in prediction? HOT 2
- Update the optimality indicators
- Compiling error (steps followed without GPU) HOT 1
- build error thunderSVM Cannot open include file: 'cub/cub.cuh' HOT 1
- The model performs poorly under the same conditions HOT 1
- ThunderSVM doesn't utilize GPU.
- Installation error on Apple M1 HOT 2
- Cuda 12 Support HOT 3
- thundersvm install in ubuntu22.04tsl HOT 1
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- Ubuntu, Linker error, CPU-only HOT 3
- thundersvm is very slow for large dataset on preparation before train with GPU
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