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mexSparseProject.cpp
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Thu, Apr 24, 01:15

mexSparseProject.cpp
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/* Software SPAMS v2.1 - Copyright 2009-2011 Julien Mairal
*
* This file is part of SPAMS.
*
* SPAMS is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* SPAMS is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with SPAMS. If not, see <http://www.gnu.org/licenses/>.
*/
/*!
* \file
* toolbox Linalg
*
* by Julien Mairal
* julien.mairal@inria.fr
*
* File mexL1Project.cpp
* \brief mex-file, function mexL1Project
* Usage: Y = mexSparseProject(X,param); */
#include <mex.h>
#include <mexutils.h>
template <typename T>
inline void callFunction(mxArray* plhs[], const mxArray*prhs[]) {
if (!mexCheckType<T>(prhs[0]))
mexErrMsgTxt("type of argument 1 is not consistent");
if (mxIsSparse(prhs[0]))
mexErrMsgTxt("argument 1 should be full");
if (!mxIsStruct(prhs[1]))
mexErrMsgTxt("argument 2 should be struct");
T* prX = reinterpret_cast<T*>(mxGetPr(prhs[0]));
const mwSize* dimsX=mxGetDimensions(prhs[0]);
int m=static_cast<int>(dimsX[0]);
int n=static_cast<int>(dimsX[1]);
plhs[0]=createMatrix<T>(m,n);
T* prY=reinterpret_cast<T*>(mxGetPr(plhs[0]));
Matrix<T> X(prX,m,n);
Matrix<T> Y(prY,m,n);
T thrs = getScalarStructDef<T>(prhs[1],"thrs",T(1.0));
T lambda1 = getScalarStructDef<T>(prhs[1],"lambda1",0);
T lambda2 = getScalarStructDef<T>(prhs[1],"lambda2",0);
T lambda3 = getScalarStructDef<T>(prhs[1],"lambda3",0);
bool pos = getScalarStructDef<bool>(prhs[1],"pos",false);
int mode = getScalarStructDef<int>(prhs[1],"mode",1);
int numThreads = getScalarStructDef<int>(prhs[1],"numThreads",-1);
if (pos && mode >= 5)
mexErrMsgTxt("mode >= 5 is not compatible with positivity constraints");
X.sparseProject(Y,thrs,mode,lambda1,lambda2,lambda3,pos,numThreads);
}
void mexFunction(int nlhs, mxArray *plhs[],int nrhs, const mxArray *prhs[]) {
if (nrhs != 2)
mexErrMsgTxt("Bad number of inputs arguments");
if (nlhs != 1)
mexErrMsgTxt("Bad number of output arguments");
if (mxGetClassID(prhs[0]) == mxDOUBLE_CLASS) {
callFunction<double>(plhs,prhs);
} else {
callFunction<float>(plhs,prhs);
}
}

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