MatrixAffineTransformFeedbackVariable.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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// modification, are permitted provided that the following conditions are met:
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/* *******************************************************      
   * $Id: MatrixAffineTransformFeedbackVariable.cc,v 1.5 2004/04/27 16:02:26 morinf Exp $
   * This file is part of the PLearn library.
   ******************************************************* */

#include "MatrixAffineTransformFeedbackVariable.h"

namespace PLearn {
using namespace std;


PLEARN_IMPLEMENT_OBJECT(MatrixAffineTransformFeedbackVariable,
                        "Affine transformation of a MATRIX variable.",
                        "NO HELP");
/*
void MatrixAffineTransformFeedbackVariable::recomputeSize(int& l, int& w) const
{
    l = length();
    w = width();
}
*/
void MatrixAffineTransformFeedbackVariable::fprop()
{
    Mat&  afftr = matValue;
    int l = afftr.length();
    Mat lintr = afftr.subMatRows(1,l-1);

    Mat& afftr_g = matGradient;
    Vec bias_g = afftr_g.firstRow();
    Mat lintr_g = afftr_g.subMatRows(1,l-1);

    for (int i = 0; i < input1->length(); i++)
        for (int j = 0; j < input1->width(); j++)
            {
            bias_g[i] += input1->matGradient[i][j];
            }
    productTransposeAcc(lintr_g, input2->matValue, input1->matGradient);
}



} // end of namespace PLearn

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