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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,v 1.6 2004/04/27 15:58:16 morinf Exp $ 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(TimesRowVariable, 00054 "Multiplies each row of a matrix var elementwise with a single row variable", 00055 "NO HELP"); 00056 00057 TimesRowVariable::TimesRowVariable(Variable* input1, Variable* input2) 00058 : inherited(input1, input2, input1->length(), input1->width()) 00059 { 00060 build_(); 00061 } 00062 00063 void 00064 TimesRowVariable::build() 00065 { 00066 inherited::build(); 00067 build_(); 00068 } 00069 00070 void 00071 TimesRowVariable::build_() 00072 { 00073 if (input1 && input2) { 00074 if (!input2->isRowVec()) 00075 PLERROR("IN TimesRowVariable: input2 is not a row"); 00076 if (input2->width() != input1->width()) 00077 PLERROR("IN TimesRowVariable: input1 and input2 have a different width()"); 00078 } 00079 } 00080 00081 void TimesRowVariable::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 void TimesRowVariable::fprop() 00091 { 00092 int k=0; 00093 for(int i=0; i<length(); i++) 00094 for(int j=0; j<width(); j++, k++) 00095 valuedata[k] = input1->valuedata[k] * input2->valuedata[j]; 00096 } 00097 00098 00099 void TimesRowVariable::bprop() 00100 { 00101 int k=0; 00102 for(int i=0; i<length(); i++) 00103 for(int j=0; j<width(); j++, k++) 00104 { 00105 input1->gradientdata[k] += input2->valuedata[j]*gradientdata[k]; 00106 input2->gradientdata[j] += input1->valuedata[k]*gradientdata[k]; 00107 } 00108 } 00109 00110 00111 void TimesRowVariable::symbolicBprop() 00112 { 00113 input1->accg(g*input2); 00114 input2->accg(columnSum(g*input1)); 00115 } 00116 00117 00118 void TimesRowVariable::rfprop() 00119 { 00120 if (rValue.length()==0) resizeRValue(); 00121 int k=0; 00122 for(int i=0; i<length(); i++) 00123 for(int j=0; j<width(); j++, k++) 00124 rvaluedata[k] = input1->rvaluedata[k] * input2->valuedata[j] + input1->valuedata[k] * input2->rvaluedata[j]; 00125 } 00126 00127 00128 00129 } // end of namespace PLearn 00130 00131

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