Closed invisibleroads closed 10 years ago
@invisibleroads for that you might want to uncomment the CMakeList.txt
line and add the compute capability of your card. As far as I remember for 610M it is 2.0 or 2.1?
list(APPEND CUDA_NVCC_FLAGS -gencode arch=compute_20,code=sm_21)
Aha, I confirm that using the following configuration in CMakeLists.txt
results in convnet.py running successfully on GeForce 610M. Thank you so much. You know the answers!
list(APPEND CUDA_NVCC_FLAGS -gencode arch=compute_20,code=sm_20)
#list(APPEND CUDA_NVCC_FLAGS -gencode arch=compute_30,code=sm_30)
#list(APPEND CUDA_NVCC_FLAGS -gencode arch=compute_32,code=sm_32)
#list(APPEND CUDA_NVCC_FLAGS -gencode arch=compute_35,code=sm_35)
#list(APPEND CUDA_NVCC_FLAGS -gencode arch=compute_50,code=sm_50)
@kashif
The following error appears under the following case when running convnet.py.
src/nvmatrix/nvmatrix.cu(279) : getLastCudaError() CUDA error : initRandom: Kernel execution failed : (8) invalid device function .
But the error does not appear in the following cases: