PLearn 0.1
DuplicateScalarVariable.cc
Go to the documentation of this file.
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: DuplicateScalarVariable.cc 3994 2005-08-25 13:35:03Z chapados $
00040  * This file is part of the PLearn library.
00041  ******************************************************* */
00042 
00043 #include "DuplicateScalarVariable.h"
00044 #include "SumVariable.h"
00045 //#include "Var_utils.h"
00046 
00047 namespace PLearn {
00048 using namespace std;
00049 
00050 
00053 PLEARN_IMPLEMENT_OBJECT(DuplicateScalarVariable,
00054                         "ONE LINE DESCR",
00055                         "NO HELP");
00056 
00057 DuplicateScalarVariable::DuplicateScalarVariable(Variable* input, int thelength, int thewidth)
00058     : inherited(input, thelength, thewidth), length_(thelength), width_(thewidth)
00059 {
00060     build_();
00061 }
00062 
00063 void
00064 DuplicateScalarVariable::build()
00065 {
00066     inherited::build();
00067     build_();
00068 }
00069 
00070 void
00071 DuplicateScalarVariable::build_()
00072 {
00073     if (input && !input->isScalar())
00074         PLERROR("In DuplicateScalarVariable input is not a scalar");
00075 }
00076 
00077 void
00078 DuplicateScalarVariable::declareOptions(OptionList &ol)
00079 {
00080     declareOption(ol, "length_", &DuplicateScalarVariable::length_, OptionBase::buildoption, "");
00081     declareOption(ol, "width_", &DuplicateScalarVariable::width_, OptionBase::buildoption, "");
00082     inherited::declareOptions(ol);
00083 }
00084 
00085 void DuplicateScalarVariable::recomputeSize(int& l, int& w) const
00086 { l=length_; w=width_; }
00087 
00088 
00089 void DuplicateScalarVariable::fprop()
00090 {
00091     real val = input->valuedata[0];
00092     for(int k=0; k<nelems(); k++)
00093         valuedata[k] = val;
00094 }
00095 
00096 
00097 void DuplicateScalarVariable::bprop()
00098 {
00099     real& inputgrad = input->gradientdata[0];
00100     for(int k=0; k<nelems(); k++)
00101         inputgrad += gradientdata[k];
00102 }
00103 
00104 
00105 void DuplicateScalarVariable::symbolicBprop()
00106 {
00107     input->accg(sum(g));
00108 }
00109 
00110 
00111 
00112 } // end of namespace PLearn
00113 
00114 
00115 /*
00116   Local Variables:
00117   mode:c++
00118   c-basic-offset:4
00119   c-file-style:"stroustrup"
00120   c-file-offsets:((innamespace . 0)(inline-open . 0))
00121   indent-tabs-mode:nil
00122   fill-column:79
00123   End:
00124 */
00125 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Defines