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: AbsVariable.cc,v 1.6 2004/04/27 16:02:26 morinf Exp $ 00040 * This file is part of the PLearn library. 00041 ******************************************************* */ 00042 00043 #include "AbsVariable.h" 00044 #include "IfThenElseVariable.h" 00045 #include "IsAboveThresholdVariable.h" 00046 #include "Var_operators.h" 00047 00048 namespace PLearn { 00049 using namespace std; 00050 00051 00052 00055 PLEARN_IMPLEMENT_OBJECT(AbsVariable, "ONE LINE DESCR", "NO HELP"); 00056 00057 AbsVariable::AbsVariable(Variable* input) 00058 : inherited(input, input->length(), input->width()) 00059 {} 00060 00061 00062 void AbsVariable::recomputeSize(int& l, int& w) const 00063 { 00064 if (input) { 00065 l = input->length(); 00066 w = input->width(); 00067 } else 00068 l = w = 0; 00069 } 00070 00071 void AbsVariable::fprop() 00072 { 00073 for(int i=0; i<nelems(); i++) 00074 { 00075 real val = input->valuedata[i]; 00076 valuedata[i] = val>=0 ?val :-val; 00077 } 00078 } 00079 00080 00081 void AbsVariable::bprop() 00082 { 00083 for(int i=0; i<nelems(); i++) 00084 { 00085 real val = input->valuedata[i]; 00086 if(val>=0) 00087 input->gradientdata[i] += gradientdata[i]; 00088 else 00089 input->gradientdata[i] -= gradientdata[i]; 00090 } 00091 } 00092 00093 00094 void AbsVariable::symbolicBprop() 00095 { 00096 input->accg(ifThenElse(input >= 0., g, -g)); 00097 } 00098 00099 00100 // R{abs(x)} = R(x) while x >= 0 00101 // R{abs(x)} = -R(x) while x < 0 00102 void AbsVariable::rfprop() 00103 { 00104 if (rValue.length()==0) resizeRValue(); 00105 int n=nelems(); 00106 for(int i=0; i<n; i++) 00107 if (input->valuedata[i] < 0) 00108 rvaluedata[i] = -input->rvaluedata[i]; 00109 else 00110 rvaluedata[i] = input->rvaluedata[i]; 00111 } 00112 00113 00114 00115 } // end of namespace PLearn 00116 00117