PLearn 0.1
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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: LogAddVariable.h 8852 2008-04-21 20:54:19Z tihocan $ 00040 * This file is part of the PLearn library. 00041 ******************************************************* */ 00042 00043 #ifndef LogAddVariable_INC 00044 #define LogAddVariable_INC 00045 00046 #include "BinaryVariable.h" 00047 00048 namespace PLearn { 00049 using namespace std; 00050 00051 #ifdef __INTEL_COMPILER 00052 00053 inline real logadd_for_icc(real a, real b) { 00054 return logadd(a, b); 00055 } 00056 #endif 00057 00060 class LogAddVariable: public BinaryVariable 00061 { 00062 typedef BinaryVariable inherited; 00063 00064 public: 00065 00066 string vector_logadd; 00067 00069 LogAddVariable(); 00070 00072 LogAddVariable(Variable* input1, Variable* input2, 00073 const string& the_vector_logadd = "none", 00074 bool call_build_ = true); 00075 00076 PLEARN_DECLARE_OBJECT(LogAddVariable); 00077 00078 virtual void build(); 00079 00080 virtual void makeDeepCopyFromShallowCopy(CopiesMap& copies); 00081 00082 virtual void recomputeSize(int& l, int& w) const; 00083 virtual void fprop(); 00084 virtual void bprop(); 00085 virtual void symbolicBprop(); 00086 00087 protected: 00088 00093 int vector_logadd_id; 00094 00096 Vec work; 00097 00100 Vec work_ptr; 00101 00102 static void declareOptions(OptionList & ol); 00103 00104 private: 00105 void build_(); 00106 }; 00107 00108 DECLARE_OBJECT_PTR(LogAddVariable); 00109 00110 inline Var logadd(Var& input1, Var& input2) 00111 { return new LogAddVariable(input1, input2); } 00112 00113 } // end of namespace PLearn 00114 00115 #endif 00116 00117 00118 /* 00119 Local Variables: 00120 mode:c++ 00121 c-basic-offset:4 00122 c-file-style:"stroustrup" 00123 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00124 indent-tabs-mode:nil 00125 fill-column:79 00126 End: 00127 */ 00128 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :