mic::neural_nets::optimization::OptimizationArray< T > Class Template Reference

A dynamic array of optimization functions (a hash-table). More...

#include <OptimizationArray.hpp>

Public Member Functions
	OptimizationArray ()=default
template<typename opT >
void	add (std::string name_, size_t rows_, size_t cols_)
template<typename opT >
void	add (std::string name_, std::shared_ptr< opT > opt_)
void	clear ()
std::shared_ptr < mic::neural_nets::optimization::OptimizationFunction < T > > &	operator[] (size_t number_)
std::shared_ptr < mic::neural_nets::optimization::OptimizationFunction < T > > &	operator[] (char key_)
std::shared_ptr < mic::neural_nets::optimization::OptimizationFunction < T > > &	operator[] (std::string key)
std::map< std::string, size_t >	keys ()
std::string	size ()

Protected Attributes
std::vector< std::shared_ptr < mic::neural_nets::optimization::OptimizationFunction < T > > >	functions
	Vector of pointers of optimization functions. More...
std::map< std::string, size_t >	keys_map
	Vector of keys of consecutive functions in the array. More...

Friends
class	boost::serialization::access
std::ostream &	operator<< (std::ostream &os_, const mic::neural_nets::optimization::OptimizationArray< T > &obj_)

Detailed Description

template<typename T>
class mic::neural_nets::optimization::OptimizationArray< T >

A dynamic array of optimization functions (a hash-table).

Author

tkornuta

Definition at line 50 of file OptimizationArray.hpp.

Constructor & Destructor Documentation

template<typename T>

mic::neural_nets::optimization::OptimizationArray< T >::OptimizationArray ( )

default

Default empty constructor.

Member Function Documentation

template<typename T>

template<typename opT >

void mic::neural_nets::optimization::OptimizationArray< T >::add ( std::string  name_, size_t  rows_, size_t  cols_  )

inline

Adds an optimization function to the array.

Parameters

name_	Name of the matrix.
input_	Input length.
output_	Output length.

Template Parameters

opT	Optimization function type.

Definition at line 66 of file OptimizationArray.hpp.

Referenced by mic::mlnn::Layer< float >::setOptimization().

template<typename T>

template<typename opT >

void mic::neural_nets::optimization::OptimizationArray< T >::add ( std::string  name_, std::shared_ptr< opT >  opt_  )

inline

Definition at line 73 of file OptimizationArray.hpp.

template<typename T>

void mic::neural_nets::optimization::OptimizationArray< T >::clear ( )

inline

Definition at line 78 of file OptimizationArray.hpp.

Referenced by mic::mlnn::Layer< float >::setOptimization().

template<typename T>

std::map<std::string, size_t> mic::neural_nets::optimization::OptimizationArray< T >::keys ( )

inline

Returns keys map.

Definition at line 143 of file OptimizationArray.hpp.

template<typename T>

std::shared_ptr<mic::neural_nets::optimization::OptimizationFunction<T> >& mic::neural_nets::optimization::OptimizationArray< T >::operator[] ( size_t  number_ )

inline

Returns the matrix with given number.

Parameters

number_

Number of the matrix.

Returns

Pointer to a matrix.

Definition at line 89 of file OptimizationArray.hpp.

template<typename T>

std::shared_ptr<mic::neural_nets::optimization::OptimizationFunction<T> >& mic::neural_nets::optimization::OptimizationArray< T >::operator[] ( char  key_ )

inline

Returns the matrix with given key (id).

Parameters

number_

Matrix key.

Returns

Pointer to a matrix.

Definition at line 101 of file OptimizationArray.hpp.

template<typename T>

std::shared_ptr<mic::neural_nets::optimization::OptimizationFunction<T> >& mic::neural_nets::optimization::OptimizationArray< T >::operator[] ( std::string  key )

inline

Returns the matrix with given key (id).

Parameters

number_

Matrix key.

Returns

Pointer to a matrix.

Definition at line 113 of file OptimizationArray.hpp.

template<typename T>

std::string mic::neural_nets::optimization::OptimizationArray< T >::size ( )

inline

Returns the size of array.

Definition at line 150 of file OptimizationArray.hpp.

Friends And Related Function Documentation

template<typename T>

friend class boost::serialization::access

friend

Definition at line 164 of file OptimizationArray.hpp.

template<typename T>

std::ostream& operator<< ( std::ostream &  os_, const mic::neural_nets::optimization::OptimizationArray< T > &  obj_  )

friend

Stream operator enabling to print the array.

Parameters

os_	Ostream object.
obj_	Array object.

Definition at line 130 of file OptimizationArray.hpp.

Member Data Documentation

template<typename T>

std::vector<std::shared_ptr< mic::neural_nets::optimization::OptimizationFunction<T> > > mic::neural_nets::optimization::OptimizationArray< T >::functions

protected

Vector of pointers of optimization functions.

Definition at line 156 of file OptimizationArray.hpp.

Referenced by mic::neural_nets::optimization::OptimizationArray< float >::add(), mic::neural_nets::optimization::OptimizationArray< float >::clear(), mic::neural_nets::optimization::OptimizationArray< float >::operator[](), and mic::neural_nets::optimization::OptimizationArray< float >::size().

template<typename T>

std::map<std::string, size_t> mic::neural_nets::optimization::OptimizationArray< T >::keys_map

protected

Vector of keys of consecutive functions in the array.

Definition at line 160 of file OptimizationArray.hpp.

Referenced by mic::neural_nets::optimization::OptimizationArray< float >::add(), mic::neural_nets::optimization::OptimizationArray< float >::clear(), mic::neural_nets::optimization::OptimizationArray< float >::keys(), and mic::neural_nets::optimization::OptimizationArray< float >::operator[]().

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The documentation for this class was generated from the following file:

• src/optimization/OptimizationArray.hpp