PowVariableVariable.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
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//     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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// THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR
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/* *******************************************************      
   * $Id: PowVariableVariable.h,v 1.5 2004/04/27 16:03:35 morinf Exp $
   * This file is part of the PLearn library.
   ******************************************************* */

#ifndef PowVariableVariable_INC
#define PowVariableVariable_INC

#include "BinaryVariable.h"

namespace PLearn {
using namespace std;


/*
//         = - netoutput[target] - logadd(output)
class NegLogSoftmaxLoss: public BinaryVariable
{
  
};
*/


class PowVariableVariable: public BinaryVariable
{
  typedef BinaryVariable inherited;

public:
  PowVariableVariable() {}
  PowVariableVariable(Variable* input, Variable* power);

  PLEARN_DECLARE_OBJECT(PowVariableVariable);

  virtual void build();

  virtual void recomputeSize(int& l, int& w) const;
  virtual void fprop();
  virtual void bprop();
  virtual void symbolicBprop();

protected:
    void build_();
};

DECLARE_OBJECT_PTR(PowVariableVariable);

inline Var pow(Var v, Var power)
{ return new PowVariableVariable(v,power); }


} // end of namespace PLearn

#endif 

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