bc::nn::Layer_Manager< Derived, Layer > Struct Template Reference

#include <layer_manager.h>

Inheritance diagram for bc::nn::Layer_Manager< Derived, Layer >:

Collaboration diagram for bc::nn::Layer_Manager< Derived, Layer >:

Public Types
using	input_tensor_dim = typename layer_traits< Layer >::input_tensor_dim
using	output_tensor_dim = typename layer_traits< Layer >::output_tensor_dim
using	allocator_type = typename layer_traits< Layer >::allocator_type
using	value_type = typename layer_traits< Layer >::value_type
using	input_tensor_type = bc::Tensor< input_tensor_dim::value, value_type, allocator_type >
using	batched_input_tensor_type = bc::Tensor< input_tensor_dim::value+1, value_type, allocator_type >
using	batched_output_tensor_type = bc::Tensor< output_tensor_dim::value+1, value_type, allocator_type >
template<char C, class Tensor , cache_key_type override = cache_key_type::inherit>
using	key_type = cache_key< bc::utility::Name< C >, Tensor, override >

Public Member Functions
template<class... Args>
	Layer_Manager (Args... args)
template<class T , class l = Layer>
auto	forward_propagation (const T &expression)
template<class T >
auto	back_propagation (const T &dy)
template<class T >
auto	predict (const T &expression)
template<class T >
auto	single_predict (const T &expression)
void	update_weights ()
virtual void	save (Layer_Loader &loader) const override
virtual void	load (Layer_Loader &loader) override
void	copy_training_data_to_single_predict (int batch_index)
const Cache &	get_cache () const
Cache &	get_cache ()
void	zero_time_index ()
void	increment_time_index ()

Friends
template<class D , class L >
class	Layer_Manager

Member Typedef Documentation

allocator_type

template<class Derived, class Layer>

using bc::nn::Layer_Manager< Derived, Layer >::allocator_type = typename layer_traits<Layer>::allocator_type

batched_input_tensor_type

template<class Derived, class Layer>

using bc::nn::Layer_Manager< Derived, Layer >::batched_input_tensor_type = bc::Tensor<input_tensor_dim::value+1, value_type, allocator_type>

batched_output_tensor_type

template<class Derived, class Layer>

using bc::nn::Layer_Manager< Derived, Layer >::batched_output_tensor_type = bc::Tensor<output_tensor_dim::value+1, value_type, allocator_type>

input_tensor_dim

template<class Derived, class Layer>

using bc::nn::Layer_Manager< Derived, Layer >::input_tensor_dim = typename layer_traits<Layer>::input_tensor_dim

input_tensor_type

template<class Derived, class Layer>

using bc::nn::Layer_Manager< Derived, Layer >::input_tensor_type = bc::Tensor<input_tensor_dim::value, value_type, allocator_type>

key_type

template<class Derived, class Layer>

template<char C, class Tensor , cache_key_type override = cache_key_type::inherit>

using bc::nn::Layer_Manager< Derived, Layer >::key_type = cache_key<bc::utility::Name<C>, Tensor, override>

output_tensor_dim

template<class Derived, class Layer>

using bc::nn::Layer_Manager< Derived, Layer >::output_tensor_dim = typename layer_traits<Layer>::output_tensor_dim

value_type

template<class Derived, class Layer>

using bc::nn::Layer_Manager< Derived, Layer >::value_type = typename layer_traits<Layer>::value_type

Constructor & Destructor Documentation

Layer_Manager()

template<class Derived, class Layer>

template<class... Args>

bc::nn::Layer_Manager< Derived, Layer >::Layer_Manager ( Args...  args )

inline

Member Function Documentation

back_propagation()

template<class Derived, class Layer>

template<class T >

auto bc::nn::Layer_Manager< Derived, Layer >::back_propagation ( const T &  dy )

inline

copy_training_data_to_single_predict()

template<class Derived, class Layer>

void bc::nn::Layer_Manager< Derived, Layer >::copy_training_data_to_single_predict ( int  batch_index )

inline

forward_propagation()

template<class Derived, class Layer>

template<class T , class l = Layer>

auto bc::nn::Layer_Manager< Derived, Layer >::forward_propagation ( const T &  expression )

inline

get_cache() [1/2]

template<class Derived, class Layer>

const Cache& bc::nn::Layer_Manager< Derived, Layer >::get_cache ( ) const

inline

get_cache() [2/2]

template<class Derived, class Layer>

Cache& bc::nn::Layer_Manager< Derived, Layer >::get_cache ( )

inline

increment_time_index()

template<class Derived, class Layer>

void bc::nn::Layer_Manager< Derived, Layer >::increment_time_index ( )

inline

load()

template<class Derived, class Layer>

virtual void bc::nn::Layer_Manager< Derived, Layer >::load ( Layer_Loader &  loader )

inlineoverridevirtual

predict()

template<class Derived, class Layer>

template<class T >

auto bc::nn::Layer_Manager< Derived, Layer >::predict ( const T &  expression )

inline

save()

template<class Derived, class Layer>

virtual void bc::nn::Layer_Manager< Derived, Layer >::save ( Layer_Loader &  loader ) const

inlineoverridevirtual

single_predict()

template<class Derived, class Layer>

template<class T >

auto bc::nn::Layer_Manager< Derived, Layer >::single_predict ( const T &  expression )

inline

update_weights()

template<class Derived, class Layer>

void bc::nn::Layer_Manager< Derived, Layer >::update_weights ( )

inline

zero_time_index()

template<class Derived, class Layer>

void bc::nn::Layer_Manager< Derived, Layer >::zero_time_index ( )

inline

Friends And Related Function Documentation

Layer_Manager

template<class Derived, class Layer>

template<class D , class L >

friend class Layer_Manager

friend

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

• blackcat/neural_networks/layer_manager.h