PLearn 0.1
TimesRowVariable.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: TimesRowVariable.cc 8879 2008-04-24 14:21:04Z tihocan $
00040  * This file is part of the PLearn library.
00041  ******************************************************* */
00042 
00043 #include "ColumnSumVariable.h"
00044 #include "TimesRowVariable.h"
00045 #include "Var_operators.h"
00046 
00047 namespace PLearn {
00048 using namespace std;
00049 
00050 
00053 PLEARN_IMPLEMENT_OBJECT(
00054         TimesRowVariable,
00055        "Multiplies each row of a matrix elementwise with a row variable.",
00056        "More formally: result(i,j) = input1(i,j) * input2[j]."
00057 );
00058 
00060 // TimesRowVariable //
00062 TimesRowVariable::TimesRowVariable(Variable* input1, Variable* input2,
00063                                    bool call_build_):
00064     inherited(input1, input2, input1->length(), input1->width(), call_build_)
00065 {
00066     if (call_build_)
00067         build_();
00068 }
00069 
00071 // build //
00073 void TimesRowVariable::build()
00074 {
00075     inherited::build();
00076     build_();
00077 }
00078 
00080 // build_ //
00082 void TimesRowVariable::build_()
00083 {
00084     if (input1 && input2) {
00085         PLCHECK_MSG(input2->isRowVec(),
00086                     "input1 must be a row vector");
00087         PLCHECK_MSG(input2->width() == input1->width(),
00088                     "input1 and input2 must have same width");
00089     }
00090 }
00091 
00093 // recomputeSize //
00095 void TimesRowVariable::recomputeSize(int& l, int& w) const
00096 {
00097     if (input1) {
00098         l = input1->length();
00099         w = input1->width();
00100     } else
00101         l = w = 0;
00102 }
00103 
00105 // fprop //
00107 void TimesRowVariable::fprop()
00108 {
00109     int k=0;
00110     for(int i=0; i<length(); i++)
00111         for(int j=0; j<width(); j++, k++)
00112             valuedata[k] = input1->valuedata[k] * input2->valuedata[j];
00113 }
00114 
00116 // bprop //
00118 void TimesRowVariable::bprop()
00119 {
00120     int k=0;
00121     for(int i=0; i<length(); i++)
00122         for(int j=0; j<width(); j++, k++)
00123         {
00124             input1->gradientdata[k] += input2->valuedata[j]*gradientdata[k];
00125             input2->gradientdata[j] += input1->valuedata[k]*gradientdata[k];
00126         }
00127 }
00128 
00130 // symbolicBprop //
00132 void TimesRowVariable::symbolicBprop()
00133 {
00134     input1->accg(g*input2);
00135     input2->accg(columnSum(g*input1));
00136 }
00137 
00139 // rfprop //
00141 void TimesRowVariable::rfprop()
00142 {
00143     if (rValue.length()==0) resizeRValue();
00144     int k=0;
00145     for(int i=0; i<length(); i++)
00146         for(int j=0; j<width(); j++, k++)
00147             rvaluedata[k] = input1->rvaluedata[k] * input2->valuedata[j] + input1->valuedata[k] * input2->rvaluedata[j];
00148 }
00149 
00150 
00151 } // end of namespace PLearn
00152 
00153 
00154 /*
00155   Local Variables:
00156   mode:c++
00157   c-basic-offset:4
00158   c-file-style:"stroustrup"
00159   c-file-offsets:((innamespace . 0)(inline-open . 0))
00160   indent-tabs-mode:nil
00161   fill-column:79
00162   End:
00163 */
00164 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
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