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: RowAtPositionVariable.cc 3994 2005-08-25 13:35:03Z chapados $ 00040 * This file is part of the PLearn library. 00041 ******************************************************* */ 00042 00043 #include "RowAtPositionVariable.h" 00044 #include "VarRowVariable.h" 00045 00046 namespace PLearn { 00047 using namespace std; 00048 00049 00052 PLEARN_IMPLEMENT_OBJECT(RowAtPositionVariable, 00053 "Variables positionned inside a larger zero variable ...", 00054 "NO HELP"); 00055 00056 RowAtPositionVariable::RowAtPositionVariable() 00057 : length_(-1) 00058 { } 00059 00060 RowAtPositionVariable::RowAtPositionVariable(Variable* input1, Variable* input2, int the_length) 00061 : inherited(input1, input2, the_length, input1->width()), length_(the_length) 00062 { 00063 build_(); 00064 } 00065 00066 void 00067 RowAtPositionVariable::build() 00068 { 00069 inherited::build(); 00070 build_(); 00071 } 00072 00073 void 00074 RowAtPositionVariable::build_() 00075 { 00076 if (input1 && input2) { 00077 if(!input1->isRowVec()) 00078 PLERROR("In RowAtPositionVariable: input1 must be a single row"); 00079 if(!input2->isScalar()) 00080 PLERROR("In RowAtPositionVariable: position must be a scalar"); 00081 } 00082 } 00083 00084 void 00085 RowAtPositionVariable::declareOptions(OptionList &ol) 00086 { 00087 declareOption(ol, "length_", &RowAtPositionVariable::length_, OptionBase::buildoption, ""); 00088 inherited::declareOptions(ol); 00089 } 00090 00091 void RowAtPositionVariable::recomputeSize(int& l, int& w) const 00092 { 00093 l=length_; 00094 if (input1) 00095 w = input1->width(); 00096 else 00097 w = 0; 00098 } 00099 00100 void RowAtPositionVariable::fprop() 00101 { 00102 value.clear(); 00103 int i = (int)input2->valuedata[0]; 00104 matValue(i) << input1->value; 00105 } 00106 00107 00108 void RowAtPositionVariable::bprop() 00109 { 00110 int i = (int)input2->valuedata[0]; 00111 input1->gradient += matGradient(i); 00112 } 00113 00114 00115 void RowAtPositionVariable::symbolicBprop() 00116 { 00117 input1->accg(new VarRowVariable(g,input2)); 00118 } 00119 00120 00121 void RowAtPositionVariable::rfprop() 00122 { 00123 if (rValue.length()==0) resizeRValue(); 00124 //rValue.clear(); 00125 int i = (int)input2->valuedata[0]; 00126 matRValue(i) << input1->rValue; 00127 } 00128 00129 00130 00131 } // end of namespace PLearn 00132 00133 00134 /* 00135 Local Variables: 00136 mode:c++ 00137 c-basic-offset:4 00138 c-file-style:"stroustrup" 00139 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00140 indent-tabs-mode:nil 00141 fill-column:79 00142 End: 00143 */ 00144 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :