[Sebastian Nowozin] Fixed memory leak in MatLab interface (dai.cpp)
[libdai.git] / src / matlab / dai.cpp
1 /* Copyright (C) 2006-2008 Joris Mooij [joris dot mooij at tuebingen dot mpg dot de]
2 Radboud University Nijmegen, The Netherlands /
3 Max Planck Institute for Biological Cybernetics, Germany
4
5 This file is part of libDAI.
6
7 libDAI is free software; you can redistribute it and/or modify
8 it under the terms of the GNU General Public License as published by
9 the Free Software Foundation; either version 2 of the License, or
10 (at your option) any later version.
11
12 libDAI is distributed in the hope that it will be useful,
13 but WITHOUT ANY WARRANTY; without even the implied warranty of
14 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15 GNU General Public License for more details.
16
17 You should have received a copy of the GNU General Public License
18 along with libDAI; if not, write to the Free Software
19 Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
20 */
21
22
23 /*=================================================================*
24 * *
25 * This is a MEX-file for MATLAB. *
26 * *
27 * [logZ,q,md,qv,qf] = dai(psi,method,opts); *
28 * *
29 *=================================================================*/
30
31
32 #include <iostream>
33 #include <dai/matlab/matlab.h>
34 #include "mex.h"
35 #include <dai/alldai.h>
36
37
38 using namespace std;
39 using namespace dai;
40
41
42 /* Input Arguments */
43
44 #define PSI_IN prhs[0]
45 #define METHOD_IN prhs[1]
46 #define OPTS_IN prhs[2]
47 #define NR_IN 3
48 #define NR_IN_OPT 0
49
50
51 /* Output Arguments */
52
53 #define LOGZ_OUT plhs[0]
54 #define Q_OUT plhs[1]
55 #define MD_OUT plhs[2]
56 #define QV_OUT plhs[3]
57 #define QF_OUT plhs[4]
58 #define NR_OUT 3
59 #define NR_OUT_OPT 2
60
61
62 void mexFunction( int nlhs, mxArray *plhs[], int nrhs, const mxArray*prhs[] )
63 {
64 size_t buflen;
65
66 // Check for proper number of arguments
67 if( ((nrhs < NR_IN) || (nrhs > NR_IN + NR_IN_OPT)) || ((nlhs < NR_OUT) || (nlhs > NR_OUT + NR_OUT_OPT)) ) {
68 mexErrMsgTxt("Usage: [logZ,q,md,qv,qf] = dai(psi,method,opts)\n\n"
69 "\n"
70 "INPUT: psi = linear cell array containing the factors \n"
71 " psi{i} should be a structure with a Member field\n"
72 " and a P field, like a CPTAB).\n"
73 " method = name of the method (see README)\n"
74 " opts = string of options (see README)\n"
75 "\n"
76 "OUTPUT: logZ = approximation of the logarithm of the partition sum.\n"
77 " q = linear cell array containing all final beliefs.\n"
78 " md = maxdiff (final linf-dist between new and old single node beliefs).\n"
79 " qv = linear cell array containing all variable beliefs.\n"
80 " qf = linear cell array containing all factor beliefs.\n");
81 }
82
83 char *method;
84 char *opts;
85
86
87 // Get psi and construct factorgraph
88 vector<Factor> factors = mx2Factors(PSI_IN, 0);
89 FactorGraph fg(factors);
90
91 // Get method
92 buflen = mxGetN( METHOD_IN ) + 1;
93 method = (char *)mxCalloc( buflen, sizeof(char) );
94 mxGetString( METHOD_IN, method, buflen );
95
96 // Get options string
97 buflen = mxGetN( OPTS_IN ) + 1;
98 opts = (char *)mxCalloc( buflen, sizeof(char) );
99 mxGetString( OPTS_IN, opts, buflen );
100 // Convert to options object props
101 stringstream ss;
102 ss << opts;
103 PropertySet props;
104 ss >> props;
105
106 // Construct InfAlg object, init and run
107 InfAlg *obj = newInfAlg( method, fg, props );
108 obj->init();
109 obj->run();
110
111
112 // Save logZ
113 double logZ = obj->logZ();
114
115 // Save maxdiff
116 double maxdiff = obj->maxDiff();
117
118
119 // Hand over results to MATLAB
120 LOGZ_OUT = mxCreateDoubleMatrix(1,1,mxREAL);
121 *(mxGetPr(LOGZ_OUT)) = logZ;
122
123 Q_OUT = Factors2mx(obj->beliefs());
124
125 MD_OUT = mxCreateDoubleMatrix(1,1,mxREAL);
126 *(mxGetPr(MD_OUT)) = maxdiff;
127
128 if( nlhs >= 4 ) {
129 vector<Factor> qv;
130 qv.reserve( fg.nrVars() );
131 for( size_t i = 0; i < fg.nrVars(); i++ )
132 qv.push_back( obj->belief( fg.var(i) ) );
133 QV_OUT = Factors2mx( qv );
134 }
135
136 if( nlhs >= 5 ) {
137 vector<Factor> qf;
138 qf.reserve( fg.nrFactors() );
139 for( size_t I = 0; I < fg.nrFactors(); I++ )
140 qf.push_back( obj->belief( fg.factor(I).vars() ) );
141 QF_OUT = Factors2mx( qf );
142 }
143 delete obj;
144
145 return;
146 }