PLearn 0.1
PlusVariable.cc
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00001 
00002 // -*- C++ -*-
00003 
00004 // PLearn (A C++ Machine Learning Library)
00005 // Copyright (C) 1998 Pascal Vincent
00006 // Copyright (C) 1999-2002 Pascal Vincent, Yoshua Bengio, Rejean Ducharme and University of Montreal
00007 // Copyright (C) 2001-2002 Nicolas Chapados, Ichiro Takeuchi, Jean-Sebastien Senecal
00008 // Copyright (C) 2002 Xiangdong Wang, Christian Dorion
00009 
00010 // Redistribution and use in source and binary forms, with or without
00011 // modification, are permitted provided that the following conditions are met:
00012 // 
00013 //  1. Redistributions of source code must retain the above copyright
00014 //     notice, this list of conditions and the following disclaimer.
00015 // 
00016 //  2. Redistributions in binary form must reproduce the above copyright
00017 //     notice, this list of conditions and the following disclaimer in the
00018 //     documentation and/or other materials provided with the distribution.
00019 // 
00020 //  3. The name of the authors may not be used to endorse or promote
00021 //     products derived from this software without specific prior written
00022 //     permission.
00023 // 
00024 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR
00025 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
00026 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN
00027 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
00028 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
00029 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
00030 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
00031 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
00032 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
00033 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
00034 // 
00035 // This file is part of the PLearn library. For more information on the PLearn
00036 // library, go to the PLearn Web site at www.plearn.org
00037 
00038 
00039 /* *******************************************************      
00040  * $Id: PlusVariable.cc 7420 2007-05-29 20:06:30Z simonl $
00041  * This file is part of the PLearn library.
00042  ******************************************************* */
00043 
00044 #include "PlusVariable.h"
00045 
00046 namespace PLearn {
00047 using namespace std;
00048 
00051 PLEARN_IMPLEMENT_OBJECT(PlusVariable,
00052                         "Adds 2 matrix vars of same size",
00053                         "NO HELP");
00054 
00055 PlusVariable::PlusVariable(Variable* input1, Variable* input2)
00056     : inherited(input1, input2, input1->length(), input1->width())
00057 {
00058     build_();
00059 }
00060 
00061 void
00062 PlusVariable::build()
00063 {
00064     inherited::build();
00065     build_();
00066 }
00067 
00068 void
00069 PlusVariable::build_()
00070 {
00071     if (input1 && input2) {
00072         if(input1->size() != input2->size())
00073             PLERROR("In PlusVariable: input1 and input2 must have exactly the same size (%ix%i != %ix%i)", input1->length(), input1->width(), input2->length(), input2->width());
00074     }
00075 }
00076 
00077 
00078 void PlusVariable::recomputeSize(int& l, int& w) const
00079 {
00080     if (input1) {
00081         l = input1->length();
00082         w = input1->width();
00083     } else
00084         l = w = 0;
00085 }
00086 
00087 void PlusVariable::fprop()
00088 {
00089     for(int k=0; k<nelems(); k++)
00090         valuedata[k] = input1->valuedata[k]+input2->valuedata[k];
00091 }
00092 
00093 
00094 void PlusVariable::bprop()
00095 {
00096     for(int k=0; k<nelems(); k++)
00097     {
00098         input1->gradientdata[k] += gradientdata[k];
00099         input2->gradientdata[k] += gradientdata[k];
00100     }
00101 }
00102 
00103 
00104 void PlusVariable::bbprop()
00105 {
00106     if (input1->diaghessian.length()==0)
00107         input1->resizeDiagHessian();
00108     if (input2->diaghessian.length()==0)
00109         input2->resizeDiagHessian();
00110     for(int k=0; k<nelems(); k++)
00111     {
00112         input1->diaghessiandata[k] += diaghessiandata[k];
00113         input2->diaghessiandata[k] += diaghessiandata[k];
00114     }
00115 }
00116 
00117 
00118 void PlusVariable::symbolicBprop()
00119 {
00120     input1->accg(g);
00121     input2->accg(g);
00122 }
00123 
00124 
00125 } // end of namespace PLearn
00126 
00127 
00128 /*
00129   Local Variables:
00130   mode:c++
00131   c-basic-offset:4
00132   c-file-style:"stroustrup"
00133   c-file-offsets:((innamespace . 0)(inline-open . 0))
00134   indent-tabs-mode:nil
00135   fill-column:79
00136   End:
00137 */
00138 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
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