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MinusColumnVariable.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: MinusColumnVariable.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 "MinusColumnVariable.h" 00044 #include "RowSumVariable.h" 00045 #include "Var_operators.h" 00046 00047 namespace PLearn { 00048 using namespace std; 00049 00050 00053 PLEARN_IMPLEMENT_OBJECT(MinusColumnVariable, 00054 "ONE LINE DESCR", 00055 "NO HELP"); 00056 00057 MinusColumnVariable::MinusColumnVariable(Variable* input1, Variable* input2) 00058 : inherited(input1, input2, input1->length(), input1->width()) 00059 { 00060 build_(); 00061 } 00062 00063 void 00064 MinusColumnVariable::build() 00065 { 00066 inherited::build(); 00067 build_(); 00068 } 00069 00070 void 00071 MinusColumnVariable::build_() 00072 { 00073 if (input1 && input2) { 00074 if(!input2->isColumnVec()) 00075 PLERROR("IN MinusColumnVariable: input2 is not a column"); 00076 if(input2->length() != input1->length()) 00077 PLERROR("IN MinusColumnVariable: input1 and input2 have a different length()"); 00078 } 00079 } 00080 00081 00082 00083 void MinusColumnVariable::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 00093 void MinusColumnVariable::fprop() 00094 { 00095 int k=0; 00096 for(int i=0; i<length(); i++) 00097 for(int j=0; j<width(); j++, k++) 00098 valuedata[k] = input1->valuedata[k] - input2->valuedata[i]; 00099 } 00100 00101 00102 void MinusColumnVariable::bprop() 00103 { 00104 int k=0; 00105 for(int i=0; i<length(); i++) 00106 for(int j=0; j<width(); j++, k++) 00107 { 00108 input1->gradientdata[k] += gradientdata[k]; 00109 input2->gradientdata[i] -= gradientdata[k]; 00110 } 00111 } 00112 00113 00114 void MinusColumnVariable::bbprop() 00115 { 00116 if (input1->diaghessian.length()==0) 00117 input1->resizeDiagHessian(); 00118 if (input2->diaghessian.length()==0) 00119 input2->resizeDiagHessian(); 00120 int k=0; 00121 for(int i=0; i<length(); i++) 00122 for(int j=0; j<width(); j++, k++) 00123 { 00124 input1->diaghessiandata[k] += diaghessiandata[k]; 00125 input2->diaghessiandata[i] -= diaghessiandata[k]; 00126 } 00127 } 00128 00129 00130 void MinusColumnVariable::symbolicBprop() 00131 { 00132 input1->accg(g); 00133 input2->accg(-rowSum(g)); 00134 } 00135 00136 00137 00138 } // end of namespace PLearn 00139 00140

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