PLearn 0.1
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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: NegateElementsVariable.cc 8856 2008-04-21 20:57:52Z tihocan $ 00040 * This file is part of the PLearn library. 00041 ******************************************************* */ 00042 00043 #include "NegateElementsVariable.h" 00044 #include "Var_operators.h" 00045 //#include "Var_utils.h" 00046 00047 namespace PLearn { 00048 using namespace std; 00049 00050 00053 PLEARN_IMPLEMENT_OBJECT( 00054 NegateElementsVariable, 00055 "Elementwise negation of the input value.", 00056 "" 00057 ); 00058 00060 // NegateElementsVariable // 00062 NegateElementsVariable::NegateElementsVariable(Variable* input, 00063 bool call_build_): 00064 inherited(input, input->length(), input->width(), call_build_) 00065 { 00066 if (call_build_) 00067 build_(); 00068 } 00069 00070 00072 // build // 00074 void NegateElementsVariable::build() 00075 { 00076 inherited::build(); 00077 build_(); 00078 } 00079 00080 00082 // build_ // 00084 void NegateElementsVariable::build_() 00085 { 00086 // Nothing to do here. 00087 } 00088 00089 void NegateElementsVariable::recomputeSize(int& l, int& w) const 00090 { 00091 if (input) { 00092 l = input->length(); 00093 w = input->width(); 00094 } else 00095 l = w = 0; 00096 } 00097 00098 void NegateElementsVariable::fprop() 00099 { 00100 for(int k=0; k<nelems(); k++) 00101 valuedata[k] = -input->valuedata[k]; 00102 } 00103 00104 00105 void NegateElementsVariable::bprop() 00106 { 00107 for(int k=0; k<nelems(); k++) 00108 input->gradientdata[k] -= gradientdata[k]; 00109 } 00110 00111 00112 void NegateElementsVariable::bbprop() 00113 { 00114 if (input->diaghessian.length()==0) 00115 input->resizeDiagHessian(); 00116 for(int k=0; k<nelems(); k++) 00117 input->diaghessiandata[k] -= diaghessiandata[k]; 00118 } 00119 00120 00121 void NegateElementsVariable::symbolicBprop() 00122 { 00123 input->accg(-g); 00124 } 00125 00126 00127 // R(-x) = -R(x) 00128 void NegateElementsVariable::rfprop() 00129 { 00130 if (rValue.length()==0) resizeRValue(); 00131 for(int k=0; k<nelems(); k++) 00132 rvaluedata[k] = -input->rvaluedata[k]; 00133 } 00134 00135 00136 00137 } // end of namespace PLearn 00138 00139 00140 /* 00141 Local Variables: 00142 mode:c++ 00143 c-basic-offset:4 00144 c-file-style:"stroustrup" 00145 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00146 indent-tabs-mode:nil 00147 fill-column:79 00148 End: 00149 */ 00150 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :