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Scripts_Sharing/ISFC/Utils_DL/spams-matlab/prox/mex/mexProximalPathCoding.cpp
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mexProximalPathCoding.cpp
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/* Software SPAMS v2.3 - 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>
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 struct");
if (!mxIsStruct(prhs[2]))
mexErrMsgTxt("argument 3 should be 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);
mxArray* ppr_GG = mxGetField(prhs[1],0,"weights");
if (!mxIsSparse(ppr_GG))
mexErrMsgTxt("field groups should be sparse");
T* graph_weights = reinterpret_cast<T*>(mxGetPr(ppr_GG));
mwSize* GG_r=mxGetIr(ppr_GG);
mwSize* GG_pB=mxGetJc(ppr_GG);
const mwSize* dims_GG=mxGetDimensions(ppr_GG);
int GGm=static_cast<int>(dims_GG[0]);
int GGn=static_cast<int>(dims_GG[1]);
if (GGm != GGn || GGm != pAlpha)
mexErrMsgTxt("size of field groups is not consistent");
mxArray* ppr_weights = mxGetField(prhs[1],0,"start_weights");
if (mxIsSparse(ppr_weights))
mexErrMsgTxt("field start_weights should not be sparse");
T* start_weights = reinterpret_cast<T*>(mxGetPr(ppr_weights));
const mwSize* dims_weights=mxGetDimensions(ppr_weights);
int nweights=static_cast<int>(dims_weights[0])*static_cast<int>(dims_weights[1]);
if (nweights != pAlpha)
mexErrMsgTxt("size of field start_weights is not consistent");
mxArray* ppr_weights2 = mxGetField(prhs[1],0,"stop_weights");
if (mxIsSparse(ppr_weights2))
mexErrMsgTxt("field stop_weights should not be sparse");
T* stop_weights = reinterpret_cast<T*>(mxGetPr(ppr_weights2));
const mwSize* dims_weights2=mxGetDimensions(ppr_weights2);
int nweights2=static_cast<int>(dims_weights2[0])*static_cast<int>(dims_weights2[1]);
if (nweights2 != pAlpha)
mexErrMsgTxt("size of field stop_weights is not consistent");
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[2],"numThreads",-1);
param.pos = getScalarStructDef<bool>(prhs[2],"pos",false);
param.lambda= getScalarStructDef<T>(prhs[2],"lambda",T(1.0));
param.lambda2= getScalarStructDef<T>(prhs[2],"lambda2",0);
getStringStruct(prhs[2],"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[2],"intercept",false);
param.verbose = getScalarStructDef<bool>(prhs[2],"verbose",false);
param.transpose = getScalarStructDef<bool>(prhs[2],"transpose",false);
param.eval = nlhs==2;
if (param.regul != GRAPH_PATH_L0 && param.regul != GRAPH_PATH_CONV)
mexErrMsgTxt("Use a different mexProximal* function");
if (param.num_threads == -1) {
param.num_threads=1;
#ifdef _OPENMP
param.num_threads = MIN(MAX_THREADS,omp_get_num_procs());
#endif
}
GraphPathStruct<T> graph;
graph.n=pAlpha;
graph.m=GG_pB[graph.n]-GG_pB[0];
graph.weights=graph_weights;
graph.start_weights=start_weights;
graph.stop_weights=stop_weights;
graph.ir=GG_r;
graph.jc=GG_pB;
graph.precision = getScalarStructDef<long long>(prhs[2],"precision",100000000000000000);
Vector<T> val;
FISTA::PROX<T>(alpha0,alpha,param,val,NULL,NULL,&graph);
if (nlhs==2) {
plhs[1]=createMatrix<T>(1,val.n());
T* pr_val=reinterpret_cast<T*>(mxGetPr(plhs[1]));
for (int i = 0; i<val.n(); ++i) pr_val[i]=val[i];
}
}
void mexFunction(int nlhs, mxArray *plhs[],int nrhs, const mxArray *prhs[]) {
if (nrhs != 3)
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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