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: InvertElementsVariable.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 "InvertElementsVariable.h" 00044 #include "Var_operators.h" 00045 00046 namespace PLearn { 00047 using namespace std; 00048 00049 00052 PLEARN_IMPLEMENT_OBJECT(InvertElementsVariable, 00053 "ONE LINE DESCR", 00054 "NO HELP"); 00055 00056 InvertElementsVariable::InvertElementsVariable(Variable* input) 00057 : inherited(input, input->length(), input->width()) 00058 {} 00059 00060 00061 void InvertElementsVariable::recomputeSize(int& l, int& w) const 00062 { 00063 if (input) { 00064 l = input->length(); 00065 w = input->width(); 00066 } else 00067 l = w = 0; 00068 } 00069 00070 void InvertElementsVariable::fprop() 00071 { 00072 for(int k=0; k<nelems(); k++) 00073 valuedata[k] = 1.0/input->valuedata[k]; 00074 } 00075 00076 00077 void InvertElementsVariable::bprop() 00078 { 00079 for(int k=0; k<nelems(); k++) 00080 { 00081 real inputvalue_k = input->valuedata[k]; 00082 input->gradientdata[k] -= gradientdata[k]/(inputvalue_k*inputvalue_k); 00083 } 00084 } 00085 00086 00087 void InvertElementsVariable::symbolicBprop() 00088 { 00089 Var v = input * input; 00090 input->accg(-g/v); 00091 } 00092 00093 00094 // R(1/x) = -1/(x^2) R(x) 00095 void InvertElementsVariable::rfprop() 00096 { 00097 if (rValue.length()==0) resizeRValue(); 00098 for(int k=0; k<nelems(); k++) 00099 { 00100 real value_k = valuedata[k]; 00101 rvaluedata[k] = - input->rvaluedata[k] * value_k * value_k; 00102 } 00103 } 00104 00105 00106 00107 } // end of namespace PLearn 00108 00109