UnfoldedFuncVariable.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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/* *******************************************************      
   * $Id: UnfoldedFuncVariable.h,v 1.7 2004/04/27 16:05:33 morinf Exp $
   * This file is part of the PLearn library.
   ******************************************************* */

#ifndef UnfoldedFuncVariable_INC
#define UnfoldedFuncVariable_INC

#include "NaryVariable.h"

namespace PLearn {
using namespace std;


class UnfoldedFuncVariable: public NaryVariable
{
  typedef NaryVariable inherited;

public:
//protected:
  Var input_matrix;
  Func f;
  bool transpose;

  TVec<VarArray> inputs; // all the input Var's
  TVec<Var> outputs; // and the corresponding output Var's, 
  TVec<VarArray> f_paths; // the duplicates of f prop. path for each input/output pair: inputs[i]->outputs[i]

public:
  UnfoldedFuncVariable();
  UnfoldedFuncVariable(Var inputmatrix, Func the_f, bool transpose);
    
  PLEARN_DECLARE_OBJECT(UnfoldedFuncVariable);
  static void declareOptions(OptionList& ol);

  virtual void build();

  virtual void recomputeSize(int& l, int& w) const;
  virtual void makeDeepCopyFromShallowCopy(map<const void*, void*>& copies);
  virtual void fprop();
  virtual void bprop();
    
  void printInfo(bool print_gradient);

protected:
  void build_();
};

DECLARE_OBJECT_PTR(UnfoldedFuncVariable);

inline Var unfoldedFunc(Var input_matrix, Func f, bool transpose = false)
{ return new UnfoldedFuncVariable(input_matrix, f, transpose); }

} // end of namespace PLearn

#endif 

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