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: ExtractVariable.cc 3994 2005-08-25 13:35:03Z chapados $ 00040 * This file is part of the PLearn library. 00041 ******************************************************* */ 00042 00043 #include "ExtendedVariable.h" 00044 #include "ExtractVariable.h" 00045 //#include "Var_utils.h" 00046 00047 namespace PLearn { 00048 using namespace std; 00049 00050 00053 PLEARN_IMPLEMENT_OBJECT(ExtractVariable, 00054 "Variable extracted from a vector variable.", 00055 "NO HELP"); 00056 00057 ExtractVariable::ExtractVariable(Variable* v, int the_offset, int the_length, int the_width) 00058 : inherited(v, the_length, the_width), 00059 offset_(the_offset), 00060 length_(the_length), 00061 width_(the_width) 00062 { 00063 build_(); 00064 } 00065 00066 void ExtractVariable::build() 00067 { 00068 inherited::build(); 00069 build_(); 00070 } 00071 00072 void ExtractVariable::build_() 00073 { 00074 if (input) { 00075 // input is v from constructor 00076 if(offset_ < 0) 00077 PLERROR("In ExtractVariable: requested matrix is out of bounds"); 00078 } 00079 } 00080 00081 void ExtractVariable::recomputeSize(int& l, int& w) const 00082 { l=length_; w=width_; } 00083 00084 void ExtractVariable::fprop() 00085 { 00086 real* inputdata = input->valuedata+offset_; 00087 int cnt = min(input->length()-offset_,length()*width()); 00088 for(int i=0; i<cnt; i++) 00089 { 00090 valuedata[i] = inputdata[i]; 00091 } 00092 } 00093 00094 00095 void ExtractVariable::bprop() 00096 { 00097 real* inputgradient = input->gradientdata+offset_; 00098 int cnt = min(input->length()-offset_,length()*width()); 00099 for(int i=0; i<cnt; i++) 00100 { 00101 inputgradient[i] += gradientdata[i]; 00102 } 00103 00104 } 00105 00106 00107 void ExtractVariable::bbprop() 00108 { 00109 PLERROR("In SVDVariable::bbprop: feature not implemented"); 00110 } 00111 00112 void ExtractVariable::symbolicBprop() 00113 { 00114 PLERROR("In SVDVariable::symbolicBprop: feature not implemented"); 00115 } 00116 00117 00118 void ExtractVariable::rfprop() 00119 { 00120 PLERROR("In SVDVariable::rfprop: feature not implemented"); 00121 } 00122 00123 } // end of namespace PLearn 00124 00125 00126 /* 00127 Local Variables: 00128 mode:c++ 00129 c-basic-offset:4 00130 c-file-style:"stroustrup" 00131 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00132 indent-tabs-mode:nil 00133 fill-column:79 00134 End: 00135 */ 00136 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :