VarColumnsVariable.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

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/* *******************************************************      
   * $Id: VarColumnsVariable.cc,v 1.5 2004/04/27 16:02:26 morinf Exp $
   * This file is part of the PLearn library.
   ******************************************************* */

#include "VarColumnsVariable.h"

namespace PLearn {
using namespace std;


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

VarColumnsVariable::VarColumnsVariable(Variable *input1, Variable *input2)
  //  : BinaryVariable(input1, input2, input1->length(), input2->width())
  : inherited(input1, input2, input1->length(), input2->length())
{
}


void VarColumnsVariable::recomputeSize(int& l, int& w) const
{
    if (input1 && input2) {
        l = input1->length();
        w = input2->length();
    } else
        l = w = 0;
}


void VarColumnsVariable::fprop()
{
  matValue << input1->matValue.columns(input2->value);
}


void VarColumnsVariable::bprop()
{
  for (int i = 0; i < input2->length(); ++i)
    input1->matGradient.column(int(input2->value[i])) += matGradient.column(i);
}


void VarColumnsVariable::symbolicBprop()
{
  PLERROR("VarRowsVariable::symbolicBprop() not implemented");
}



} // end of namespace PLearn

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