PLearn 0.1
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00001 // -*- C++ -*- 00002 00003 // PLearn (A C++ Machine Learning Library) 00004 // 00005 // Copyright (C) 2006 University of Montreal 00006 00007 // Redistribution and use in source and binary forms, with or without 00008 // modification, are permitted provided that the following conditions are met: 00009 // 00010 // 1. Redistributions of source code must retain the above copyright 00011 // notice, this list of conditions and the following disclaimer. 00012 // 00013 // 2. Redistributions in binary form must reproduce the above copyright 00014 // notice, this list of conditions and the following disclaimer in the 00015 // documentation and/or other materials provided with the distribution. 00016 // 00017 // 3. The name of the authors may not be used to endorse or promote 00018 // products derived from this software without specific prior written 00019 // permission. 00020 // 00021 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR 00022 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES 00023 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN 00024 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, 00025 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED 00026 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00027 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00028 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00029 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00030 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00031 // 00032 // This file is part of the PLearn library. For more information on the PLearn 00033 // library, go to the PLearn Web site at www.plearn.org 00034 00035 00036 /* ******************************************************* 00037 * $Id: RowSumSquareVariable.cc 3994 2005-08-25 13:35:03Z chapados $ 00038 * This file is part of the PLearn library. 00039 ******************************************************* */ 00040 00041 #include "RowSumSquareVariable.h" 00042 00043 namespace PLearn { 00044 using namespace std; 00045 00046 00049 PLEARN_IMPLEMENT_OBJECT( 00050 RowSumSquareVariable, 00051 "Column containing the sums of squared elements of rows of its source.", 00052 "" 00053 ); 00054 00056 // RowSumSquareVariable // 00058 RowSumSquareVariable::RowSumSquareVariable(Variable* input, bool call_build_): 00059 inherited(input, input->length(), 1, call_build_) 00060 { 00061 if (call_build_) 00062 build_(); 00063 } 00064 00066 // build // 00068 void RowSumSquareVariable::build() { 00069 inherited::build(); 00070 build_(); 00071 } 00072 00074 // build_ // 00076 void RowSumSquareVariable::build_() { 00077 // Nothing to do here. 00078 } 00079 00081 // recomputeSize // 00083 void RowSumSquareVariable::recomputeSize(int& l, int& w) const 00084 { 00085 if (input) 00086 l = input->length(); 00087 else 00088 l = 0; 00089 w=1; 00090 } 00091 00092 void RowSumSquareVariable::fprop() 00093 { 00094 value.fill(0); 00095 int k=0; 00096 for(int i=0; i<input->length(); i++) 00097 for(int j=0; j<input->width(); j++, k++) { 00098 real input_value = input->valuedata[k]; 00099 valuedata[i] += input_value * input_value; 00100 } 00101 } 00102 00103 void RowSumSquareVariable::bprop() 00104 { 00105 int k=0; 00106 for(int i=0; i<input->length(); i++) 00107 for(int j=0; j<input->width(); j++, k++) 00108 input->gradientdata[k] += 2* gradientdata[i] * input->valuedata[k]; 00109 } 00110 00111 } // end of namespace PLearn 00112 00113 00114 /* 00115 Local Variables: 00116 mode:c++ 00117 c-basic-offset:4 00118 c-file-style:"stroustrup" 00119 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00120 indent-tabs-mode:nil 00121 fill-column:79 00122 End: 00123 */ 00124 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :