DuplicateRowVariable.cc

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// -*- C++ -*-

// PLearn (A C++ Machine Learning Library)
// Copyright (C) 1998 Pascal Vincent
// Copyright (C) 1999-2002 Pascal Vincent, Yoshua Bengio, Rejean Ducharme and University of Montreal
// Copyright (C) 2001-2002 Nicolas Chapados, Ichiro Takeuchi, Jean-Sebastien Senecal
// Copyright (C) 2002 Xiangdong Wang, Christian Dorion

// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
// 
//  1. Redistributions of source code must retain the above copyright
//     notice, this list of conditions and the following disclaimer.
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/* *******************************************************      
   * $Id: DuplicateRowVariable.cc,v 1.6 2004/04/27 16:03:35 morinf Exp $
   * This file is part of the PLearn library.
   ******************************************************* */

#include "ColumnSumVariable.h"
#include "DuplicateRowVariable.h"
//#include "Var_utils.h"

namespace PLearn {
using namespace std;


PLEARN_IMPLEMENT_OBJECT(DuplicateRowVariable, "ONE LINE DESCR", "NO HELP");

DuplicateRowVariable::DuplicateRowVariable(Variable* input, int thelength)
  : inherited(input, thelength, input->width()), length_(thelength)
{
    build_();
}

void
DuplicateRowVariable::build()
{
    inherited::build();
    build_();
}

void
DuplicateRowVariable::build_()
{
    if (input && !input->isRowVec())
        PLERROR("In DuplicateRowVariable input is not a row");
}

void
DuplicateRowVariable::declareOptions(OptionList &ol)
{
    declareOption(ol, "length_", &DuplicateRowVariable::length_, OptionBase::buildoption, "");
    inherited::declareOptions(ol);
}

void DuplicateRowVariable::recomputeSize(int& l, int& w) const
{
    l = length_;
    if (input)
        w = input->width();
    else
        w = 0;
}

void DuplicateRowVariable::fprop()
{
  int k=0;
  for(int i=0; i<length(); i++)
    for(int j=0; j<width(); j++, k++)
      valuedata[k] = input->valuedata[j];
}


void DuplicateRowVariable::bprop()
{
  int k=0;
  for(int i=0; i<length(); i++)
    for(int j=0; j<width(); j++, k++)
      input->gradientdata[j] += gradientdata[k];
}


void DuplicateRowVariable::symbolicBprop()
{
  input->accg(columnSum(g));
}



} // end of namespace PLearn

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