Use BLAS library in C Mex-File

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Luke Skywalker
Luke Skywalker am 17 Nov. 2015
Kommentiert: James Tursa am 18 Nov. 2015
Hi,
I am trying to use the BLAS library for my C-Mex-Code to analyze performance differences with and without BLAS. However, I couldn't figure out how to use BLAS correctly without getting compile errors/warnings (and eventually Matlab Crashes).
Below is a sample code where I would like to calculate a vector product using the ddot()-function of Blas ( https://software.intel.com/de-de/node/468398#D4E53C70-D8FA-4095-A800-4203CAFE64FE ):
#include <mex.h>
#include <math.h>
#include <blas.h>
void TestBlas(double *L, double *R, mwSize n)
{
int one = 1;
double sum = ddot(&n,L,&one,L,&one);
//Output Matrix R not defined, just for test purposes...
}
void mexFunction( int nlhs, mxArray *plhs[],
int nrhs, const mxArray *prhs[])
{
double *inMatrix; /* 1xN input matrix */
size_t ncols; /* size of matrix */
long *ncolsPr; /* output matrix */
double *outMatrix; /* output matrix */
inMatrix = mxGetPr(prhs[0]);
ncols = mxGetN(prhs[0]);
/* create the output matrix */
plhs[0] = mxCreateDoubleMatrix(1,(mwSize)ncols,mxREAL);
outMatrix = mxGetPr(plhs[0]);
TestBlas(inMatrix,outMatrix,(mwSize)ncols);
}
The compiler warnings I receive are:
>> mex -largeArrayDims TestBlas.c -lmwblas
Building with 'Xcode with Clang'.
/Users/jhess/Dropbox/Uni/E-Technik Master/Forschungspraxis Machine Learning/Matlab/TestBlas.c:9:23: warning: passing 'mwSize *' (aka 'unsigned long *') to parameter of type 'const ptrdiff_t *' (aka 'const long *') converts between pointers to integer types with different sign [-Wpointer-sign]
double sum = ddot(&n,L,&one,L,&one);
^~
/Applications/MATLAB_R2015a.app/extern/include/blas.h:559:22: note: passing argument to parameter 'n' here
const ptrdiff_t *n,
^
/Users/jhess/Dropbox/Uni/E-Technik Master/Forschungspraxis Machine Learning/Matlab/TestBlas.c:9:28: warning: incompatible pointer types passing 'int *' to parameter of type 'const ptrdiff_t *' (aka 'const long *') [-Wincompatible-pointer-types]
double sum = ddot(&n,L,&one,L,&one);
^~~~
/Applications/MATLAB_R2015a.app/extern/include/blas.h:561:22: note: passing argument to parameter 'incx' here
const ptrdiff_t *incx,
^
/Users/jhess/Dropbox/Uni/E-Technik Master/Forschungspraxis Machine Learning/Matlab/TestBlas.c:9:35: warning: incompatible pointer types passing 'int *' to parameter of type 'const ptrdiff_t *' (aka 'const long *') [-Wincompatible-pointer-types]
double sum = ddot(&n,L,&one,L,&one);
^~~~
/Applications/MATLAB_R2015a.app/extern/include/blas.h:563:22: note: passing argument to parameter 'incy' here
const ptrdiff_t *incy
^
3 warnings generated.
MEX completed successfully.
It seems to be something like I am passing wrong variable-types (or pointer-types?) to the BLAS-function but I just couldn't figure out how to fix it. Can somebody have a look please? Many thanks!

Akzeptierte Antwort

James Tursa
James Tursa am 17 Nov. 2015
Bearbeitet: James Tursa am 17 Nov. 2015
You need to use the correct integer types for BLAS/LAPACK calls. E.g.,
mwSignedIndex one = 1; // <-- Or ptrdiff_t one = 1;
and
void TestBlas(double *L, double *R, mwSignedIndex n) // <-- Or ptrdiff_t n
Also, your output is a scalar, so
plhs[0] = mxCreateDoubleMatrix(1,1,mxREAL);
Then, of course, to get the output returned to the caller,
*R = ddot(&n,L,&one,L,&one);
Finally, to make this code robust, you should consider putting in some checks to make sure the inputs are as expected (double class, real, etc.)
  2 Kommentare
Luke Skywalker
Luke Skywalker am 17 Nov. 2015
Thanks a bunch, works perfectly :)
James Tursa
James Tursa am 18 Nov. 2015
You're welcome. May the Force be with you ...

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