Using the above code in afreshpython session always ends up with the following error: ---> 17 tmp = cua.sum(a) ~/dev/py38-env/lib/python3.8/site-packages/pycuda/gpuarray.py in sum(a, dtype, stream, allocator) 1
I tried to run the code only changing the face detector with cvlib, and then I get this error. RuntimeError: cuda runtime error (11) : invalid argument at /pytorch/aten/src/THC/THCGeneral.cpp: if I change the dace detector to the one I i...
4 如果错误是出现在,例如回传的时候, 则往往可能是上一步的kernel出现异步错误(如果你用的是同步cudaMemcpy的话)。此时依然需要检查kernel的。(例如,出现Unspecified Launch Failure, 或者cudaErrorUnknown, 或者具体性的kernel出错) 5 常见的是返回: cudaError Launch Failure。这个时候需要用nsight检查kernel的,往往是...
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NVRTC_ERROR_NAME_EXPRESSION_NOT_VALID = 10 NVRTC_ERROR_INTERNAL_ERROR = 11 NVRTC_ERROR_TIME_FILE_WRITE_FAILED = 12 Functions const char* nvrtcGetErrorString ( nvrtcResult result ) nvrtcGetErrorString is a helper function that returns a string describing the given nvrtcResult code, e.g., ...
对于返回类型cudaError_t,如果正确调用,则返回cudaSuccess,否则返回cudaErrorMemoryAllocation。可以使用char* cudaGetErrorString(cudaError_t error)将其转化为易于理解的格式。 3 CUDA线程层次 CUDA线程分成Grid和Block两个层次,由一个单独的kernel启动的所有线程组成一个grid,grid中所有线程共享global memory。一个grid...
/opt/cuda/bin/nvcc -ccbin g++ -I…/…/common/inc -m64 --threads 0 --std=c++11 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -...
// If we've already instantiated the graph, try to update it directly // and avoid the instantiation overhead if (graphExec != NULL) { // If the graph fails to update, errorNode will be set to the // node causing the failure and updateResult will be set to a // reason code. ...