PLearn 0.1
MinusRowVariable.cc
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00001 // -*- C++ -*-
00002 
00003 // PLearn (A C++ Machine Learning Library)
00004 // Copyright (C) 1998 Pascal Vincent
00005 // Copyright (C) 1999-2002 Pascal Vincent, Yoshua Bengio, Rejean Ducharme and University of Montreal
00006 // Copyright (C) 2001-2002 Nicolas Chapados, Ichiro Takeuchi, Jean-Sebastien Senecal
00007 // Copyright (C) 2002 Xiangdong Wang, Christian Dorion
00008 
00009 // Redistribution and use in source and binary forms, with or without
00010 // modification, are permitted provided that the following conditions are met:
00011 // 
00012 //  1. Redistributions of source code must retain the above copyright
00013 //     notice, this list of conditions and the following disclaimer.
00014 // 
00015 //  2. Redistributions in binary form must reproduce the above copyright
00016 //     notice, this list of conditions and the following disclaimer in the
00017 //     documentation and/or other materials provided with the distribution.
00018 // 
00019 //  3. The name of the authors may not be used to endorse or promote
00020 //     products derived from this software without specific prior written
00021 //     permission.
00022 // 
00023 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR
00024 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
00025 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN
00026 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
00027 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
00028 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
00029 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
00030 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
00031 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
00032 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
00033 // 
00034 // This file is part of the PLearn library. For more information on the PLearn
00035 // library, go to the PLearn Web site at www.plearn.org
00036 
00037 
00038 /* *******************************************************      
00039  * $Id: MinusRowVariable.cc 3994 2005-08-25 13:35:03Z chapados $
00040  * This file is part of the PLearn library.
00041  ******************************************************* */
00042 
00043 #include "ColumnSumVariable.h"
00044 #include "MinusRowVariable.h"
00045 #include "Var_operators.h"
00046 //#include "Var_utils.h"
00047 
00048 namespace PLearn {
00049 using namespace std;
00050 
00051 
00054 PLEARN_IMPLEMENT_OBJECT(MinusRowVariable,
00055                         "ONE LINE DESCR",
00056                         "NO HELP");
00057 
00058 MinusRowVariable::MinusRowVariable(Variable* input1, Variable* input2)
00059     : inherited(input1, input2, input1->length(), input1->width())
00060 {
00061     build_();
00062 }
00063 
00064 void
00065 MinusRowVariable::build()
00066 {
00067     inherited::build();
00068     build_();
00069 }
00070 
00071 void
00072 MinusRowVariable::build_()
00073 {
00074     if (input1 && input2) {
00075         if(!input2->isRowVec())
00076             PLERROR("IN MinusRowVariable: input2 is not a row");
00077         if(input2->width() != input1->width())
00078             PLERROR("IN MinusRowVariable: input1 and input2 have a different width()");
00079     }
00080 }
00081 
00082 
00083 void MinusRowVariable::recomputeSize(int& l, int& w) const
00084 {
00085     if (input1) {
00086         l = input1->length();
00087         w = input1->width();
00088     } else
00089         l = w = 0;
00090 }
00091 
00092 void MinusRowVariable::fprop()
00093 {
00094     int k=0;
00095     for(int i=0; i<length(); i++)
00096         for(int j=0; j<width(); j++, k++)
00097             valuedata[k] = input1->valuedata[k] - input2->valuedata[j];
00098 }
00099 
00100 
00101 void MinusRowVariable::bprop()
00102 {
00103     int k=0;
00104     for(int i=0; i<length(); i++)
00105         for(int j=0; j<width(); j++, k++)
00106         {
00107             input1->gradientdata[k] += gradientdata[k];
00108             input2->gradientdata[j] -= gradientdata[k];
00109         }
00110 }
00111 
00112 
00113 void MinusRowVariable::bbprop()
00114 {
00115     if (input1->diaghessian.length()==0)
00116         input1->resizeDiagHessian();
00117     if (input2->diaghessian.length()==0)
00118         input2->resizeDiagHessian();
00119     int k=0;
00120     for(int i=0; i<length(); i++)
00121         for(int j=0; j<width(); j++, k++)
00122         {
00123             input1->diaghessiandata[k] += diaghessiandata[k];
00124             input2->diaghessiandata[j] -= diaghessiandata[k];
00125         }
00126 }
00127 
00128 
00129 void MinusRowVariable::symbolicBprop()
00130 {
00131     input1->accg(g);
00132     input2->accg(-columnSum(g));
00133 }
00134 
00135 
00136 
00137 } // end of namespace PLearn
00138 
00139 
00140 /*
00141   Local Variables:
00142   mode:c++
00143   c-basic-offset:4
00144   c-file-style:"stroustrup"
00145   c-file-offsets:((innamespace . 0)(inline-open . 0))
00146   indent-tabs-mode:nil
00147   fill-column:79
00148   End:
00149 */
00150 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
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