PLearn 0.1
PlusColumnVariable.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: PlusColumnVariable.cc 3994 2005-08-25 13:35:03Z chapados $
00040  * This file is part of the PLearn library.
00041  ******************************************************* */
00042 
00043 #include "PlusColumnVariable.h"
00044 #include "RowSumVariable.h"
00045 
00046 namespace PLearn {
00047 using namespace std;
00048 
00049 
00052 PLEARN_IMPLEMENT_OBJECT(PlusColumnVariable,
00053                         "Adds a single-column var to each column of a matrix var",
00054                         "NO HELP");
00055 
00056 PlusColumnVariable::PlusColumnVariable(Variable* input1, Variable* input2)
00057     : inherited(input1, input2, input1->length(), input1->width())
00058 {
00059     build_();
00060 }
00061 
00062 void
00063 PlusColumnVariable::build()
00064 {
00065     inherited::build();
00066     build_();
00067 }
00068 
00069 void
00070 PlusColumnVariable::build_()
00071 {
00072     if (input1 && input2) {
00073         if(!input2->isColumnVec())
00074             PLERROR("IN PlusColumnVariable: input2 is not a column");
00075         if(input2->length() != input1->length())
00076             PLERROR("IN PlusColumnVariable: input1 and input2 have a different length()");
00077     }
00078 }
00079 
00080 
00081 void PlusColumnVariable::recomputeSize(int& l, int& w) const
00082 {
00083     if (input1) {
00084         l = input1->length();
00085         w = input1->width();
00086     } else
00087         l = w = 0;
00088 }
00089 
00090 
00091 void PlusColumnVariable::fprop()
00092 {
00093     int k=0;
00094     for(int i=0; i<length(); i++)
00095         for(int j=0; j<width(); j++, k++)
00096             valuedata[k] = input1->valuedata[k] + input2->valuedata[i];
00097 }
00098 
00099 
00100 void PlusColumnVariable::bprop()
00101 {
00102     int k=0;
00103     for(int i=0; i<length(); i++)
00104         for(int j=0; j<width(); j++, k++)
00105         {
00106             input1->gradientdata[k] += gradientdata[k];
00107             input2->gradientdata[i] += gradientdata[k];
00108         }
00109 }
00110 
00111 
00112 void PlusColumnVariable::bbprop()
00113 {
00114     if (input1->diaghessian.length()==0)
00115         input1->resizeDiagHessian();
00116     if (input2->diaghessian.length()==0)
00117         input2->resizeDiagHessian();
00118     int k=0;
00119     for(int i=0; i<length(); i++)
00120         for(int j=0; j<width(); j++, k++)
00121         {
00122             input1->diaghessiandata[k] += diaghessiandata[k];
00123             input2->diaghessiandata[i] += diaghessiandata[k];
00124         }
00125 }
00126 
00127 
00128 void PlusColumnVariable::symbolicBprop()
00129 {
00130     input1->accg(g);
00131     input2->accg(rowSum(g));
00132 }
00133 
00134 
00135 void PlusColumnVariable::rfprop()
00136 {
00137     if (rValue.length()==0) resizeRValue();
00138     int k=0;
00139     for(int i=0; i<length(); i++)
00140         for(int j=0; j<width(); j++, k++)
00141             rvaluedata[k] = input1->rvaluedata[k] + input2->rvaluedata[i];
00142 }
00143 
00144 
00145 
00146 } // end of namespace PLearn
00147 
00148 
00149 /*
00150   Local Variables:
00151   mode:c++
00152   c-basic-offset:4
00153   c-file-style:"stroustrup"
00154   c-file-offsets:((innamespace . 0)(inline-open . 0))
00155   indent-tabs-mode:nil
00156   fill-column:79
00157   End:
00158 */
00159 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
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