PLearn 0.1
|
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: ColumnSumVariable.cc 5911 2006-06-20 16:31:05Z tihocan $ 00040 * This file is part of the PLearn library. 00041 ******************************************************* */ 00042 00043 #include "ColumnSumVariable.h" 00044 00045 namespace PLearn { 00046 using namespace std; 00047 00048 00051 PLEARN_IMPLEMENT_OBJECT( 00052 ColumnSumVariable, 00053 "A row vector whose elements are the sums of each column in its source.", 00054 "" 00055 ); 00056 00058 // ColumnSumVariable // 00060 ColumnSumVariable::ColumnSumVariable(Variable* input): 00061 inherited(input, 1, input->width()) 00062 {} 00063 00065 // recomputeSize // 00067 void ColumnSumVariable::recomputeSize(int& l, int& w) const 00068 { 00069 l = 1; 00070 w = input->width(); 00071 } 00072 00074 // fprop // 00076 void ColumnSumVariable::fprop() 00077 { 00078 value.clear(); 00079 int k=0; 00080 for(int i=0; i<input->length(); i++) 00081 for(int j=0; j<input->width(); j++, k++) 00082 valuedata[j] += input->valuedata[k]; 00083 } 00084 00086 // bprop // 00088 void ColumnSumVariable::bprop() 00089 { 00090 int k=0; 00091 for(int i=0; i<input->length(); i++) 00092 for(int j=0; j<input->width(); j++, k++) 00093 input->gradientdata[k] += gradientdata[j]; 00094 } 00095 00097 // symbolicBprop // 00099 void ColumnSumVariable::symbolicBprop() 00100 { 00101 input->accg(g); 00102 } 00103 00104 } // end of namespace PLearn 00105 00106 00107 /* 00108 Local Variables: 00109 mode:c++ 00110 c-basic-offset:4 00111 c-file-style:"stroustrup" 00112 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00113 indent-tabs-mode:nil 00114 fill-column:79 00115 End: 00116 */ 00117 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :