Memory leaks in simple MEX function

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Ayal
Ayal el 15 de Ag. de 2013
I wrote a mex function and noticed that every time I run it, more and more memory disappears from my GPU, even though I overwrite the previous results every time. In my attempts find the source of the problem, I wrote the following code (file is called MexMemoryTrack):
#include "mex.h"
#include "gpu/mxGPUArray.h"
void mexFunction(int nlhs, mxArray *plhs[],
int nrhs, mxArray const *prhs[])
{
mxInitGPU();
const mxGPUArray * inp=mxGPUCreateFromMxArray(prhs[0]);
const mxGPUArray * ms=mxGPUCreateFromMxArray(prhs[1]);
const double * inpPtr=(const double*) mxGPUGetDataReadOnly(inp);
const double * masksPtr=(const double*) mxGPUGetDataReadOnly(ms);
mxGPUArray * out=mxGPUCopyFromMxArray(prhs[2]);
double * outPtr=(double* ) mxGPUGetData(out);
plhs[0] = mxGPUCreateMxArrayOnGPU(out);
mxGPUDestroyGPUArray(inp);
mxGPUDestroyGPUArray(ms);
mxGPUDestroyGPUArray(out);
}
I run it using:
foo=gpuArray.zeros([3 3 10000 18]);
foo2=gpuArray.randn([7 7 10000 20]);
foo3=gpuArray.randn([5 5 18 20]);
dumdum=MexMemoryTrack(foo2,foo3,foo);
if I put this code in a loop, all my memory ends up disappearing and I get an "out of memory" error. I can't figure out why. This is a very simple code. I either overwrite data or destroy it using mxGPUDestroyGPUArray.
why would I keep losing memory? clearing dumdum after each execution doesn't help I am using Matlab 2013a and Visual Studio 2010 for compiling.
  2 comentarios
Jill Reese
Jill Reese el 15 de Ag. de 2013
What version of MATLAB are you using?
Ayal
Ayal el 15 de Ag. de 2013
2013a

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Respuestas (1)

Jill Reese
Jill Reese el 16 de Ag. de 2013
Editada: Jill Reese el 16 de Ag. de 2013
There is a known memory leak in R2013a only. If possible, I would apply the patch associated with external bug report 954239 to see if it helps in your situation.
Best,
Jill
  1 comentario
Ayal
Ayal el 27 de Ag. de 2013
Sadly, this did not solve the problem. I deleted my own answer because it was way off. So far it seems to me like Matlab just doesn't clear the GPU memory when it's overwritten. This is a problem similar to one I've read about - when calling Matlab functions from within a MEX, memory isn't overwritten, but re-allocated.

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