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SubMatTransposeVariable.cc

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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: SubMatTransposeVariable.cc,v 1.7 2004/05/26 20:14:38 tihocan Exp $ 00040 * This file is part of the PLearn library. 00041 ******************************************************* */ 00042 00043 #include "ExtendedVariable.h" 00044 #include "SubMatTransposeVariable.h" 00045 //#include "Var_utils.h" 00046 00047 namespace PLearn { 00048 using namespace std; 00049 00050 00053 PLEARN_IMPLEMENT_OBJECT(SubMatTransposeVariable, "ONE LINE DESCR", "NO HELP"); 00054 00055 SubMatTransposeVariable::SubMatTransposeVariable(Variable* v, int i, int j, int the_length, int the_width) 00056 : inherited(v, the_width, the_length), 00057 startk(i*v->length()+j), 00058 length_(the_length), 00059 width_(the_width), 00060 i_(i), 00061 j_(j) 00062 { 00063 build_(); 00064 } 00065 00066 void SubMatTransposeVariable::build() 00067 { 00068 inherited::build(); 00069 build_(); 00070 } 00071 00072 void SubMatTransposeVariable::build_() 00073 { 00074 if (input) { 00075 // input is v from constructor 00076 if (i_ < 0 || i_ + length_ > input->length() || j_ < 0 || j_ + width_ > input->width()) 00077 PLERROR("In SubMatTransposeVariable: requested sub-matrix is out of matrix bounds"); 00078 startk = i_ * input->length() + j_; 00079 } 00080 } 00081 00082 void 00083 SubMatTransposeVariable::declareOptions(OptionList &ol) 00084 { 00085 declareOption(ol, "length_", &SubMatTransposeVariable::length_, OptionBase::buildoption, ""); 00086 declareOption(ol, "width_", &SubMatTransposeVariable::width_, OptionBase::buildoption, ""); 00087 declareOption(ol, "startk", &SubMatTransposeVariable::startk, OptionBase::buildoption, ""); 00088 declareOption(ol, "i_", &SubMatTransposeVariable::i_, OptionBase::buildoption, ""); 00089 declareOption(ol, "j_", &SubMatTransposeVariable::j_, OptionBase::buildoption, ""); 00090 inherited::declareOptions(ol); 00091 } 00092 00093 void SubMatTransposeVariable::recomputeSize(int& l, int& w) const 00094 { l=width_; w=length_; } 00095 00096 void SubMatTransposeVariable::fprop() 00097 { 00098 if(input->length()==1 || input->width()==1) // optimized version for this special case... 00099 { 00100 real* inputdata = input->valuedata+startk; 00101 for(int k=0; k<nelems(); k++) 00102 valuedata[k] = inputdata[k]; 00103 } 00104 else // general case 00105 { 00106 real* inputrowdata = input->valuedata+startk; 00107 int thiskcolstart = 0; // element index of start of column in this var 00108 for(int i=0; i<width(); i++) // the width() of this var is the length() of the submat 00109 { 00110 int thisk = thiskcolstart++; 00111 for(int j=0; j<length(); j++, thisk+=width()) // the length() of this var is the width() of the submat 00112 valuedata[thisk] = inputrowdata[j]; 00113 inputrowdata += input->width(); 00114 } 00115 } 00116 } 00117 00118 00119 void SubMatTransposeVariable::bprop() 00120 { 00121 if(input->length()==1 || input->width()==1) // optimized version for this special case... 00122 { 00123 real* inputdata = input->gradientdata+startk; 00124 for(int k=0; k<nelems(); k++) 00125 inputdata[k] += gradientdata[k]; 00126 } 00127 else // general case 00128 { 00129 real* inputrowdata = input->gradientdata+startk; 00130 int thiskcolstart = 0; // element index of start of column in this var 00131 for(int i=0; i<width(); i++) // the width() of this var is the length() of the submat 00132 { 00133 int thisk = thiskcolstart++; 00134 for(int j=0; j<length(); j++, thisk+=width()) // the length() of this var is the width() of the submat 00135 inputrowdata[j] += gradientdata[thisk]; 00136 inputrowdata += input->width(); 00137 } 00138 } 00139 } 00140 00141 00142 void SubMatTransposeVariable::symbolicBprop() 00143 { 00144 int i = startk/input->width(); 00145 int j = startk%input->width(); 00146 int topextent = i; 00147 int bottomextent = input->length()-(i+width()); // the width() of this var is the length() of the submat 00148 int leftextent = j; 00149 int rightextent = input->width()-(j+length()); // the length() of this var is the width() of the submat 00150 input->accg(extend(transpose(g),topextent,bottomextent,leftextent,rightextent)); 00151 } 00152 00153 00154 void SubMatTransposeVariable::rfprop() 00155 { 00156 if (rValue.length()==0) resizeRValue(); 00157 if(input->length()==1 || input->width()==1) // optimized version for this special case... 00158 { 00159 real* inputdata = input->rvaluedata+startk; 00160 for(int k=0; k<nelems(); k++) 00161 rvaluedata[k] = inputdata[k]; 00162 } 00163 else // general case 00164 { 00165 real* inputrowdata = input->rvaluedata+startk; 00166 int thiskcolstart = 0; // element index of start of column in this var 00167 for(int i=0; i<width(); i++) // the width() of this var is the length() of the submat 00168 { 00169 int thisk = thiskcolstart++; 00170 for(int j=0; j<length(); j++, thisk+=width()) // the length() of this var is the width() of the submat 00171 rvaluedata[thisk] = inputrowdata[j]; 00172 inputrowdata += input->width(); 00173 } 00174 } 00175 } 00176 00177 00178 00179 } // end of namespace PLearn 00180 00181

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