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mexProximalFlat.cpp
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Wed, May 14, 07:55

mexProximalFlat.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/>.
*/
#include <mex.h>
#include <mexutils.h>
#include <fista.h>
// alpha = mexProximalFlat(alpha0,param)
using namespace FISTA;
template <typename T>
inline void callFunction(mxArray* plhs[], const mxArray*prhs[],
const int nlhs) {
if (!mexCheckType<T>(prhs[0]))
mexErrMsgTxt("type of argument 1 is not consistent");
if (mxIsSparse(prhs[0]))
mexErrMsgTxt("argument 1 should not be sparse");
if (!mxIsStruct(prhs[1]))
mexErrMsgTxt("argument 2 should be a struct");
T* pr_alpha0 = reinterpret_cast<T*>(mxGetPr(prhs[0]));
const mwSize* dimsAlpha=mxGetDimensions(prhs[0]);
int pAlpha=static_cast<int>(dimsAlpha[0]);
int nAlpha=static_cast<int>(dimsAlpha[1]);
Matrix<T> alpha0(pr_alpha0,pAlpha,nAlpha);
plhs[0]=createMatrix<T>(pAlpha,nAlpha);
T* pr_alpha=reinterpret_cast<T*>(mxGetPr(plhs[0]));
Matrix<T> alpha(pr_alpha,pAlpha,nAlpha);
FISTA::ParamFISTA<T> param;
param.num_threads = getScalarStructDef<int>(prhs[1],"numThreads",-1);
param.pos = getScalarStructDef<bool>(prhs[1],"pos",false);
param.lambda= getScalarStructDef<T>(prhs[1],"lambda",1.0);
param.lambda2= getScalarStructDef<T>(prhs[1],"lambda2",0.0);
param.lambda3= getScalarStructDef<T>(prhs[1],"lambda3",0.0);
mxArray* ppr_groups = mxGetField(prhs[1],0,"groups");
if (ppr_groups) {
if (!mexCheckType<int>(ppr_groups))
mexErrMsgTxt("param.groups should be int32 (starting group is 1)");
int* pr_groups = reinterpret_cast<int*>(mxGetPr(ppr_groups));
const mwSize* dims_groups =mxGetDimensions(ppr_groups);
int num_groups=static_cast<int>(dims_groups[0])*static_cast<int>(dims_groups[1]);
if (num_groups != pAlpha) mexErrMsgTxt("Wrong size of param.groups");
param.ngroups=num_groups;
param.groups=pr_groups;
} else {
param.size_group= getScalarStructDef<int>(prhs[1],"size_group",1);
}
getStringStruct(prhs[1],"regul",param.name_regul,param.length_names);
param.regul = regul_from_string(param.name_regul);
if (param.regul==INCORRECT_REG)
mexErrMsgTxt("Unknown regularization");
param.intercept = getScalarStructDef<bool>(prhs[1],"intercept",false);
param.verbose = getScalarStructDef<bool>(prhs[1],"verbose",false);
param.clever = getScalarStructDef<bool>(prhs[1],"clever",true);
param.resetflow = getScalarStructDef<bool>(prhs[1],"resetflow",false);
param.transpose = getScalarStructDef<bool>(prhs[1],"transpose",false);
param.eval = nlhs==2;
if (param.num_threads == -1) {
param.num_threads=1;
#ifdef _OPENMP
param.num_threads = MIN(MAX_THREADS,omp_get_num_procs());
#endif
}
if (param.regul==GRAPH || param.regul==GRAPHMULT)
mexErrMsgTxt("Error: mexProximalGraph should be used instead");
if (param.regul==TREE_L0 || param.regul==TREEMULT || param.regul==TREE_L2 || param.regul==TREE_LINF)
mexErrMsgTxt("Error: mexProximalTree should be used instead");
Vector<T> val_reg;
FISTA::PROX<T>(alpha0,alpha,param,val_reg);
if (nlhs==2) {
plhs[1]=createMatrix<T>(1,val_reg.n());
T* pr_val=reinterpret_cast<T*>(mxGetPr(plhs[1]));
for (int i = 0; i<val_reg.n(); ++i) pr_val[i]=val_reg[i];
}
}
void mexFunction(int nlhs, mxArray *plhs[],int nrhs, const mxArray *prhs[]) {
if (nrhs != 2)
mexErrMsgTxt("Bad number of inputs arguments");
if (nlhs != 1 && nlhs != 2)
mexErrMsgTxt("Bad number of output arguments");
if (mxGetClassID(prhs[0]) == mxDOUBLE_CLASS) {
callFunction<double>(plhs,prhs,nlhs);
} else {
callFunction<float>(plhs,prhs,nlhs);
}
}

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