"Lu, Xinghua" <xing...@pitt.edu> writes:
> I am new to pyCuda, and I would appreciate your help in advance.
>
> I were able to write a few short pyCuda code but run into a roadblock with
> one at my hand.
>
> The code snippet is as follows:
>
> tumorLnFScore = np.zeros((nTumorMutGenes,
> nTumorDEGs)).astype(np.float32)
> gpu_tumorLnFScore = cuda.mem_alloc(tumorLnFScore.nbytes)
> ## bunch of other initialization of GPU variables for func call
>
> func = mod.get_function("PanCanTDIMarginalGPU")
> func(gpu_mutcnaMatrix, gpu_degMatrix, gpu_nTumors,
> gpu_tumormutGeneIndx, gpu_nTumorGTs,\
> gpu_degGeneIndx, gpu_nTumorDEGs, gpu_tumorLnFScore,
> gpu_cancerTypeColIndx,\
> gpu_ge1stDriverIndices, gpu_ge2ndDriverIndices, block=(blocksize,
> 1, 1), grid=(nBlockInGrid, 1))
>
> cuda.memcpy_dtoh(tumorLnFScore, gpu_tumorLnFScore)
>
> However, pyCuda returned the following error:
>
> File "/home/kevin/GroupDropbox/TDI/PanCanTDIGPU.py", line 421, in
> calcPanCanTDIGPU
>
> cuda.memcpy_dtoh(tumorLnFScore, gpu_tumorLnFScore)
>
> pycuda._driver.LogicError: cuMemcpyDtoH failed: invalid/unknown error code
>
> PyCUDA WARNING: a clean-up operation failed (dead context maybe?)
>
> cuMemFree failed: invalid/unknown error code
>
>
> My question is:
>
> What would be most common cause of the above error, on pycuda side or
> in Cuda C/C++ side? Thanks in advance for helping.You probably have a bug in one of your kernel codes, which caused a segfault on the GPU, as a result of which your GPU context got killed. HTH, Andreas
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