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: BiasWeightAffineTransformVariable.h 3994 2005-08-25 13:35:03Z chapados $ 00040 * This file is part of the PLearn library. 00041 ******************************************************* */ 00042 00043 #ifndef BiasWeightAffineTransformVariable_INC 00044 #define BiasWeightAffineTransformVariable_INC 00045 00046 #include "NaryVariable.h" 00047 00048 namespace PLearn { 00049 using namespace std; 00050 00051 00056 class BiasWeightAffineTransformVariable: public NaryVariable 00057 { 00058 typedef NaryVariable inherited; 00059 00060 public: 00061 00066 bool transpose_weights; 00067 00068 public: 00070 BiasWeightAffineTransformVariable() {} 00071 BiasWeightAffineTransformVariable(const VarArray& the_varray, 00072 bool the_transpose_weights=false); 00073 00074 PLEARN_DECLARE_OBJECT(BiasWeightAffineTransformVariable); 00075 00076 virtual void makeDeepCopyFromShallowCopy(CopiesMap& copies); 00077 virtual void build(); 00078 00079 virtual void recomputeSize(int& l, int& w) const; 00080 virtual void fprop(); 00081 virtual void bprop(); 00082 virtual void symbolicBprop(); 00083 00084 protected: 00085 00087 Var vec; 00089 Var weights; 00091 Var bias; 00092 00093 protected: 00094 00095 void build_(); 00096 }; 00097 00098 DECLARE_OBJECT_PTR(BiasWeightAffineTransformVariable); 00099 00101 inline Var bias_weight_affine_transform(Var vec, Var weights, Var bias, bool transpose_weights=false) 00102 { 00103 return new BiasWeightAffineTransformVariable(vec & weights & bias, 00104 transpose_weights); 00105 } 00106 00107 } // end of namespace PLearn 00108 00109 #endif 00110 00111 00112 /* 00113 Local Variables: 00114 mode:c++ 00115 c-basic-offset:4 00116 c-file-style:"stroustrup" 00117 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00118 indent-tabs-mode:nil 00119 fill-column:79 00120 End: 00121 */ 00122 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :