MatrixAffineTransformFeedbackVariable.h

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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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//  2. Redistributions in binary form must reproduce the above copyright
//     notice, this list of conditions and the following disclaimer in the
//     documentation and/or other materials provided with the distribution.
// 
//  3. The name of the authors may not be used to endorse or promote
//     products derived from this software without specific prior written
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/* *******************************************************      
   * $Id: MatrixAffineTransformFeedbackVariable.h,v 1.4 2004/04/27 16:02:26 morinf Exp $
   * This file is part of the PLearn library.
   ******************************************************* */

#ifndef MatrixAffineTransformFeedbackVariable_INC
#define MatrixAffineTransformFeedbackVariable_INC

#include "BinaryVariable.h"

namespace PLearn {
using namespace std;


class MatrixAffineTransformFeedbackVariable: public BinaryVariable
{
  typedef BinaryVariable inherited;

public:
  MatrixAffineTransformFeedbackVariable() {}
  MatrixAffineTransformFeedbackVariable(Variable* g, Variable* input)
      : inherited(g, input, g->length()+1, input->length())
  {}

  PLEARN_DECLARE_OBJECT(MatrixAffineTransformFeedbackVariable);

    //virtual void recomputeSize(int& l, int& w) const;
  virtual void fprop();
  virtual void bprop() {};
};

DECLARE_OBJECT_PTR(MatrixAffineTransformFeedbackVariable);

} // end of namespace PLearn

#endif 

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