Layer base class. More...

#include <dnn_layer_base.h>

Inheritance diagram for dnn::layer:

Public Member Functions
	layer (void)
	Layer constructor. More...

	~layer ()

virtual void	init (void)
	Initialize layer. More...

virtual void	upd_buf_size (arma::uword nmb)
	Update layer buffer sizes. More...

virtual void	prop (void)
	Forward propagation. More...

virtual void	prop_mb (void)
	Forward propagation - mini batch. More...

virtual void	backprop (void)
	Back propagation. More...

virtual void	update (void)
	Parameter update. More...

virtual void	disp (void)
	Display info about layer. More...

virtual void	enable_training (void)
	Enable training of layer. More...

virtual void	disable_training (void)
	Disable training of layer. More...

virtual void	enable_bias (void)
	Enable bias term in layer. More...

virtual void	disable_bias (void)
	Disable bias term in layer. More...

virtual arma::Mat< DNN_Dtype >	get_B (void)
	Get bias. More...

virtual arma::Cube< DNN_Dtype >	get_W (void)
	Get weights. More...

virtual void	set_B (arma::Mat< DNN_Dtype > &b)
	Set bias. More...

virtual void	set_W (arma::Cube< DNN_Dtype > &w)
	Set weights. More...

virtual arma::uword	get_nrof_params (void)
	Get number of trainable parameters. More...

virtual void	set_phase (PHASE p)
	Set phase/state. More...

virtual void	set_left (layer *lptr)
	Set pointer to left layer. More...

virtual void	set_right (layer *rptr)
	Set pointer to right layer. More...

virtual void	set_id (const std::string str)
	Set layer id string. More...

virtual std::string	get_id (void)
	Get layer id string. More...

virtual void	set_type (const std::string str)
	Set layer type string. More...

virtual std::string	get_type (void)
	Get layer type string. More...

virtual void	set_ix (const arma::uword n)
	Set layer index. More...

virtual arma::uword	get_ix (void)
	Get layer index. More...

virtual void	set_batch_size (const arma::uword n)
	Set mini batch size. More...

virtual arma::uword	get_batch_size (void)
	Get mini batch size. More...

virtual void	set_Y1 (arma::Mat< DNN_Dtype > &y)
	Set output buffer. More...

virtual void	set_Y (arma::Mat< DNN_Dtype > &y)
	Set output buffer - mini batch. More...

virtual void	set_Dleft (arma::Mat< DNN_Dtype > &d)
	Set error output buffer - mini batch. More...

virtual void	set_rows_in (arma::uword r)
	Set input buffer row size. More...

virtual arma::uword	get_nrof_rows (void)
	Get output buffer row size. More...

virtual void	set_cols_in (arma::uword c)
	Set input buffer column size. More...

virtual arma::uword	get_nrof_cols (void)
	Get output buffer column size. More...

virtual void	set_channels_in (arma::uword l)
	Set input buffer channel/layer size. More...

virtual arma::uword	get_nrof_channels (void)
	Get output buffer channel/layer size. More...

virtual void	set_opt_alg (opt &alg_class)
	Set pointer to optimizer class. More...

virtual opt *	get_opt_alg (void)
	Get pointer to optimizer class. More...

virtual arma::uword	get_nrof_inputs (void)
	Get total number of layer inputs. More...

virtual arma::uword	get_nrof_outputs (void)
	Get total number of layer outputs. More...

virtual arma::Mat< DNN_Dtype >	get_Y1 (void)
	Get output buffer. More...

virtual arma::Mat< DNN_Dtype > *	get_Y1_ptr (void)
	Get output buffer pointer. More...

virtual DNN_Dtype *	get_Y1_memptr (void)
	Get output buffer memory pointer. More...

virtual arma::Mat< DNN_Dtype >	get_Y (void)
	Get output buffer - mini batch. More...

virtual arma::Mat< DNN_Dtype > *	get_Y_ptr (void)
	Get output buffer pointer - mini batch. More...

virtual DNN_Dtype *	get_Y_memptr (void)
	Get output buffer memory pointer - mini batch. More...

virtual DNN_Dtype *	get_Y_colptr (const arma::uword n)
	Get output buffer memory column pointer - mini batch. More...

virtual arma::Mat< DNN_Dtype >	get_Dleft ()
	Get error buffer - mini batch. More...

virtual arma::Mat< DNN_Dtype > *	get_Dleft_ptr (void)
	Get error buffer pointer - mini batch. More...

virtual DNN_Dtype *	get_Dleft_memptr (void)
	Get error buffer memory pointer - mini batch. More...

virtual DNN_Dtype *	get_Dleft_colptr (const arma::uword n)
	Get error buffer memory column pointer - mini batch. More...

virtual void	save_layer_param (std::string name, PARAM_FORMAT f=PARAM_FORMAT::ASCII)
	Save layer weight and bias. More...

virtual void	load_layer_param (std::string name, PARAM_FORMAT f=PARAM_FORMAT::AUTO)
	Load layer weight and bias. More...

template<typename T >
void	init_weights (T &w, arma::uword fan_in, arma::uword fan_out, INIT_W_ALG alg, INIT_W_DIST dist)
	Initiate weights. More...

DNN_Dtype	sigmoid (const DNN_Dtype x)
	Sigmoid function - scalar. More...

arma::Mat< DNN_Dtype >	sigmoid (const arma::Mat< DNN_Dtype > &x)
	Sigmoid function - matrix. More...

arma::Mat< DNN_Dtype >	softmax (const arma::Mat< DNN_Dtype > &x)
	Softmax function - matrix. More...

Protected Attributes
layer *	left
	Pointer to previous layer. More...

layer *	right
	Pointer to next layer. More...

std::string	id
	Layer id string. More...

std::string	type
	Layer type string. More...

arma::uword	layer_ix
	Layer index [0..]. More...

bool	train_par
	Enable training. More...

bool	add_bias
	Enable bias. More...

opt *	opt_alg
	Pointer to optimizer. More...

PHASE	phase
	Active state/phase. More...

arma::uword	N_batch
	Mini batch size. More...

arma::uword	N_rows_left
	Input rows. More...

arma::uword	N_cols_left
	Input cols. More...

arma::uword	N_channels_left
	Input channels, number of filters. More...

arma::uword	N_rows_right
	Output rows. More...

arma::uword	N_cols_right
	Output cols. More...

arma::uword	N_channels_right
	Output channels, number of filters. More...

arma::uword	N_left
	Total size left. More...

arma::uword	N_right
	Total size right. More...

arma::Mat< DNN_Dtype >	Y
	Output buffer mini batch [N_right,N_batch]. More...

arma::Mat< DNN_Dtype >	Y1
	Output buffer [N_right,1]. More...

arma::Mat< DNN_Dtype >	Dleft
	Error buffer [N_left,N_batch]. More...

arma::Cube< DNN_Dtype >	W
	Weights. More...

arma::Mat< DNN_Dtype >	B
	Bias. More...

Friends
std::ostream &	operator<< (std::ostream &os, layer &lay)
	operator << More...

Detailed Description

Layer base class.

Layer base class

Definition at line 31 of file dnn_layer_base.h.

Constructor & Destructor Documentation

◆ layer()

dnn::layer::layer ( void )

inline

Layer constructor.

Initializes layer parameters to a known default state

Definition at line 68 of file dnn_layer_base.h.

◆ ~layer()

dnn::layer::~layer ( )

inline

Definition at line 90 of file dnn_layer_base.h.

Member Function Documentation

◆ backprop()

virtual void dnn::layer::backprop ( void )

inlinevirtual

Back propagation.

Reimplemented in dnn::cost_CE_softmax, dnn::cost_CE_sigmoid, dnn::act_softmax, dnn::act_tanh, dnn::cost_CE, dnn::layer_conv, dnn::pool_average, dnn::act_LReLU, dnn::cost_MSE_sigmoid, dnn::pool_max, dnn::act_ReLU, dnn::cost_MSE, dnn::act_softplus, dnn::layer_norm, dnn::layer_cost, dnn::act_sigmoid, dnn::layer_drop, dnn::layer_dense, dnn::layer_pool, and dnn::layer_act.

Definition at line 171 of file dnn_layer_base.h.

◆ disable_bias()

virtual void dnn::layer::disable_bias ( void )

inlinevirtual

Disable bias term in layer.

Definition at line 213 of file dnn_layer_base.h.

◆ disable_training()

virtual void dnn::layer::disable_training ( void )

inlinevirtual

Disable training of layer.

Definition at line 199 of file dnn_layer_base.h.

◆ disp()

virtual void dnn::layer::disp ( void )

inlinevirtual

Display info about layer.

Reimplemented in dnn::cost_CE_softmax, dnn::cost_CE_sigmoid, dnn::cost_CE, dnn::cost_MSE_sigmoid, dnn::layer_conv, dnn::cost_MSE, dnn::layer_norm, dnn::layer_cost, dnn::layer_dense, dnn::layer_input, dnn::layer_drop, dnn::layer_pool, and dnn::layer_act.

Definition at line 184 of file dnn_layer_base.h.

◆ enable_bias()

virtual void dnn::layer::enable_bias ( void )

inlinevirtual

Enable bias term in layer.

Definition at line 206 of file dnn_layer_base.h.

◆ enable_training()

virtual void dnn::layer::enable_training ( void )

inlinevirtual

Enable training of layer.

Definition at line 192 of file dnn_layer_base.h.

◆ get_B()

virtual arma::Mat<DNN_Dtype> dnn::layer::get_B ( void )

inlinevirtual

Get bias.

Definition at line 220 of file dnn_layer_base.h.

◆ get_batch_size()

virtual arma::uword dnn::layer::get_batch_size ( void )

inlinevirtual

Get mini batch size.

Definition at line 326 of file dnn_layer_base.h.

◆ get_Dleft()

virtual arma::Mat<DNN_Dtype> dnn::layer::get_Dleft ( )

inlinevirtual

Get error buffer - mini batch.

Definition at line 477 of file dnn_layer_base.h.

◆ get_Dleft_colptr()

virtual DNN_Dtype* dnn::layer::get_Dleft_colptr ( const arma::uword n )

inlinevirtual

Get error buffer memory column pointer - mini batch.

Parameters

[in] n Column

Definition at line 499 of file dnn_layer_base.h.

◆ get_Dleft_memptr()

virtual DNN_Dtype* dnn::layer::get_Dleft_memptr ( void )

inlinevirtual

Get error buffer memory pointer - mini batch.

Definition at line 491 of file dnn_layer_base.h.

◆ get_Dleft_ptr()

virtual arma::Mat<DNN_Dtype>* dnn::layer::get_Dleft_ptr ( void )

inlinevirtual

Get error buffer pointer - mini batch.

Definition at line 484 of file dnn_layer_base.h.

◆ get_id()

virtual std::string dnn::layer::get_id ( void )

inlinevirtual

Get layer id string.

Definition at line 283 of file dnn_layer_base.h.

◆ get_ix()

virtual arma::uword dnn::layer::get_ix ( void )

inlinevirtual

Get layer index.

Definition at line 311 of file dnn_layer_base.h.

◆ get_nrof_channels()

virtual arma::uword dnn::layer::get_nrof_channels ( void )

inlinevirtual

Get output buffer channel/layer size.

Definition at line 389 of file dnn_layer_base.h.

◆ get_nrof_cols()

virtual arma::uword dnn::layer::get_nrof_cols ( void )

inlinevirtual

Get output buffer column size.

Definition at line 375 of file dnn_layer_base.h.

◆ get_nrof_inputs()

virtual arma::uword dnn::layer::get_nrof_inputs ( void )

inlinevirtual

Get total number of layer inputs.

Definition at line 410 of file dnn_layer_base.h.

◆ get_nrof_outputs()

virtual arma::uword dnn::layer::get_nrof_outputs ( void )

inlinevirtual

Get total number of layer outputs.

Definition at line 420 of file dnn_layer_base.h.

◆ get_nrof_params()

virtual arma::uword dnn::layer::get_nrof_params ( void )

inlinevirtual

Get number of trainable parameters.

Reimplemented in dnn::layer_conv, dnn::layer_dense, and dnn::layer_norm.

Definition at line 248 of file dnn_layer_base.h.

◆ get_nrof_rows()

virtual arma::uword dnn::layer::get_nrof_rows ( void )

inlinevirtual

Get output buffer row size.

Definition at line 361 of file dnn_layer_base.h.

◆ get_opt_alg()

virtual opt* dnn::layer::get_opt_alg ( void )

inlinevirtual

Get pointer to optimizer class.

Definition at line 403 of file dnn_layer_base.h.

◆ get_type()

virtual std::string dnn::layer::get_type ( void )

inlinevirtual

Get layer type string.

Definition at line 297 of file dnn_layer_base.h.

◆ get_W()

virtual arma::Cube<DNN_Dtype> dnn::layer::get_W ( void )

inlinevirtual

Get weights.

Definition at line 227 of file dnn_layer_base.h.

◆ get_Y()

virtual arma::Mat<DNN_Dtype> dnn::layer::get_Y ( void )

inlinevirtual

Get output buffer - mini batch.

Definition at line 448 of file dnn_layer_base.h.

◆ get_Y1()

virtual arma::Mat<DNN_Dtype> dnn::layer::get_Y1 ( void )

inlinevirtual

Get output buffer.

Definition at line 427 of file dnn_layer_base.h.

◆ get_Y1_memptr()

virtual DNN_Dtype* dnn::layer::get_Y1_memptr ( void )

inlinevirtual

Get output buffer memory pointer.

Definition at line 441 of file dnn_layer_base.h.

◆ get_Y1_ptr()

virtual arma::Mat<DNN_Dtype>* dnn::layer::get_Y1_ptr ( void )

inlinevirtual

Get output buffer pointer.

Definition at line 434 of file dnn_layer_base.h.

◆ get_Y_colptr()

virtual DNN_Dtype* dnn::layer::get_Y_colptr ( const arma::uword n )

inlinevirtual

Get output buffer memory column pointer - mini batch.

Parameters

[in] n Column

Definition at line 470 of file dnn_layer_base.h.

◆ get_Y_memptr()

virtual DNN_Dtype* dnn::layer::get_Y_memptr ( void )

inlinevirtual

Get output buffer memory pointer - mini batch.

Definition at line 462 of file dnn_layer_base.h.

◆ get_Y_ptr()

virtual arma::Mat<DNN_Dtype>* dnn::layer::get_Y_ptr ( void )

inlinevirtual

Get output buffer pointer - mini batch.

Definition at line 455 of file dnn_layer_base.h.

◆ init()

virtual void dnn::layer::init ( void )

inlinevirtual

Initialize layer.

Initializes input buffer dimensions

Reimplemented in dnn::layer_conv, dnn::layer_dense, dnn::layer_input, dnn::layer_drop, dnn::layer_pool, dnn::layer_cost, dnn::layer_norm, and dnn::layer_act.

Definition at line 97 of file dnn_layer_base.h.

◆ init_weights()

template<typename T >

void dnn::layer::init_weights	(	T &	w,
		arma::uword	fan_in,
		arma::uword	fan_out,
		INIT_W_ALG	alg,
		INIT_W_DIST	dist
	)

inline

Initiate weights.

Parameters

[in]	fan_in	Number of layer input nodes
[in]	fan_out	Number of layer output nodes
[in]	alg	Algorithm selection
[in]	dist	Random distribution selection [normal\|uniform]
[out]	w	weight data

Initiate weights random or in a predictive way

Definition at line 572 of file dnn_layer_base.h.

◆ load_layer_param()

virtual void dnn::layer::load_layer_param	(	std::string	name,
		PARAM_FORMAT	f = `PARAM_FORMAT::AUTO`
	)

inlinevirtual

Load layer weight and bias.

Parameters

[in]	name	filename
[in]	f	file format

Loads weights and bias for the layer in an ASCII or binary format

Definition at line 535 of file dnn_layer_base.h.

◆ prop()

virtual void dnn::layer::prop ( void )

inlinevirtual

Forward propagation.

Reimplemented in dnn::cost_CE_softmax, dnn::cost_CE_sigmoid, dnn::act_softmax, dnn::act_tanh, dnn::cost_CE, dnn::layer_conv, dnn::pool_average, dnn::act_LReLU, dnn::cost_MSE_sigmoid, dnn::act_ReLU, dnn::pool_max, dnn::act_softplus, dnn::layer_norm, dnn::layer_cost, dnn::act_sigmoid, dnn::layer_input, dnn::layer_dense, dnn::layer_pool, and dnn::layer_act.

Definition at line 157 of file dnn_layer_base.h.

◆ prop_mb()

virtual void dnn::layer::prop_mb ( void )

inlinevirtual

Forward propagation - mini batch.

Reimplemented in dnn::cost_CE_softmax, dnn::cost_CE_sigmoid, dnn::act_softmax, dnn::act_tanh, dnn::cost_CE, dnn::layer_conv, dnn::pool_average, dnn::act_LReLU, dnn::cost_MSE_sigmoid, dnn::act_ReLU, dnn::pool_max, dnn::act_softplus, dnn::layer_norm, dnn::layer_cost, dnn::act_sigmoid, dnn::layer_input, dnn::layer_dense, dnn::layer_drop, dnn::layer_pool, and dnn::layer_act.

Definition at line 164 of file dnn_layer_base.h.

◆ save_layer_param()

virtual void dnn::layer::save_layer_param	(	std::string	name,
		PARAM_FORMAT	f = `PARAM_FORMAT::ASCII`
	)

inlinevirtual

Save layer weight and bias.

Parameters

[in]	name	filename
[in]	f	file format

Saves weights and bias for the layer in an ASCII or binary format

Definition at line 511 of file dnn_layer_base.h.

◆ set_B()

virtual void dnn::layer::set_B ( arma::Mat< DNN_Dtype > & b )

inlinevirtual

Set bias.

Definition at line 234 of file dnn_layer_base.h.

◆ set_batch_size()

virtual void dnn::layer::set_batch_size ( const arma::uword n )

inlinevirtual

Set mini batch size.

Definition at line 318 of file dnn_layer_base.h.

◆ set_channels_in()

virtual void dnn::layer::set_channels_in ( arma::uword l )

inlinevirtual

Set input buffer channel/layer size.

Definition at line 382 of file dnn_layer_base.h.

◆ set_cols_in()

virtual void dnn::layer::set_cols_in ( arma::uword c )

inlinevirtual

Set input buffer column size.

Definition at line 368 of file dnn_layer_base.h.

◆ set_Dleft()

virtual void dnn::layer::set_Dleft ( arma::Mat< DNN_Dtype > & d )

inlinevirtual

Set error output buffer - mini batch.

Definition at line 347 of file dnn_layer_base.h.

◆ set_id()

virtual void dnn::layer::set_id ( const std::string str )

inlinevirtual

Set layer id string.

Definition at line 276 of file dnn_layer_base.h.

◆ set_ix()

virtual void dnn::layer::set_ix ( const arma::uword n )

inlinevirtual

Set layer index.

Definition at line 304 of file dnn_layer_base.h.

◆ set_left()

virtual void dnn::layer::set_left ( layer * lptr )

inlinevirtual

Set pointer to left layer.

Definition at line 262 of file dnn_layer_base.h.

◆ set_opt_alg()

virtual void dnn::layer::set_opt_alg ( opt & alg_class )

inlinevirtual

Set pointer to optimizer class.

Definition at line 396 of file dnn_layer_base.h.

◆ set_phase()

virtual void dnn::layer::set_phase ( PHASE p )

inlinevirtual

Set phase/state.

Definition at line 255 of file dnn_layer_base.h.

◆ set_right()

virtual void dnn::layer::set_right ( layer * rptr )

inlinevirtual

Set pointer to right layer.

Definition at line 269 of file dnn_layer_base.h.

◆ set_rows_in()

virtual void dnn::layer::set_rows_in ( arma::uword r )

inlinevirtual

Set input buffer row size.

Definition at line 354 of file dnn_layer_base.h.

◆ set_type()

virtual void dnn::layer::set_type ( const std::string str )

inlinevirtual

Set layer type string.

Definition at line 290 of file dnn_layer_base.h.

◆ set_W()

virtual void dnn::layer::set_W ( arma::Cube< DNN_Dtype > & w )

inlinevirtual

Set weights.

Definition at line 241 of file dnn_layer_base.h.

◆ set_Y()

virtual void dnn::layer::set_Y ( arma::Mat< DNN_Dtype > & y )

inlinevirtual

Set output buffer - mini batch.

Definition at line 340 of file dnn_layer_base.h.

◆ set_Y1()

virtual void dnn::layer::set_Y1 ( arma::Mat< DNN_Dtype > & y )

inlinevirtual

Set output buffer.

Definition at line 333 of file dnn_layer_base.h.

◆ sigmoid() [1/2]

DNN_Dtype dnn::layer::sigmoid ( const DNN_Dtype x )

inline

Sigmoid function - scalar.

Parameters

[in] x Scalar input

Definition at line 600 of file dnn_layer_base.h.

◆ sigmoid() [2/2]

arma::Mat<DNN_Dtype> dnn::layer::sigmoid ( const arma::Mat< DNN_Dtype > & x )

inline

Sigmoid function - matrix.

Parameters

[in] x Matrix input

Definition at line 608 of file dnn_layer_base.h.

◆ softmax()

arma::Mat<DNN_Dtype> dnn::layer::softmax ( const arma::Mat< DNN_Dtype > & x )

inline

Softmax function - matrix.

Parameters

[in] x Matrix input

Definition at line 616 of file dnn_layer_base.h.

◆ upd_buf_size()

virtual void dnn::layer::upd_buf_size ( arma::uword nmb )

inlinevirtual

Update layer buffer sizes.

Initializes and clears output buffer dimensions

Reimplemented in dnn::layer_conv, dnn::layer_norm, dnn::layer_drop, dnn::layer_cost, and dnn::layer_pool.

Definition at line 110 of file dnn_layer_base.h.

◆ update()

virtual void dnn::layer::update ( void )

inlinevirtual

Parameter update.

Reimplemented in dnn::layer_conv, dnn::layer_norm, and dnn::layer_dense.

Definition at line 178 of file dnn_layer_base.h.

Friends And Related Function Documentation

◆ operator<<

std::ostream& operator<<	(	std::ostream &	os,
		layer &	lay
	)

friend

operator <<

Overloads << operator to print layer info

Definition at line 123 of file dnn_layer_base.h.

Member Data Documentation

◆ add_bias

bool dnn::layer::add_bias

protected

Enable bias.

Definition at line 42 of file dnn_layer_base.h.

◆ B

arma::Mat<DNN_Dtype> dnn::layer::B

protected

Bias.

Definition at line 60 of file dnn_layer_base.h.

◆ Dleft

arma::Mat<DNN_Dtype> dnn::layer::Dleft

protected

Error buffer [N_left,N_batch].

Definition at line 58 of file dnn_layer_base.h.

◆ id

std::string dnn::layer::id

protected

Layer id string.

Definition at line 38 of file dnn_layer_base.h.

◆ layer_ix

arma::uword dnn::layer::layer_ix

protected

Layer index [0..].

Definition at line 40 of file dnn_layer_base.h.

◆ left

layer* dnn::layer::left

protected

Pointer to previous layer.

Definition at line 35 of file dnn_layer_base.h.

◆ N_batch

arma::uword dnn::layer::N_batch

protected

Mini batch size.

Definition at line 46 of file dnn_layer_base.h.

◆ N_channels_left

arma::uword dnn::layer::N_channels_left

protected

Input channels, number of filters.

Definition at line 49 of file dnn_layer_base.h.

◆ N_channels_right

arma::uword dnn::layer::N_channels_right

protected

Output channels, number of filters.

Definition at line 52 of file dnn_layer_base.h.

◆ N_cols_left

arma::uword dnn::layer::N_cols_left

protected

Input cols.

Definition at line 48 of file dnn_layer_base.h.

◆ N_cols_right

arma::uword dnn::layer::N_cols_right

protected

Output cols.

Definition at line 51 of file dnn_layer_base.h.

◆ N_left

arma::uword dnn::layer::N_left

protected

Total size left.

Definition at line 53 of file dnn_layer_base.h.

◆ N_right

arma::uword dnn::layer::N_right

protected

Total size right.

Definition at line 54 of file dnn_layer_base.h.

◆ N_rows_left

arma::uword dnn::layer::N_rows_left

protected

Input rows.

Definition at line 47 of file dnn_layer_base.h.

◆ N_rows_right

arma::uword dnn::layer::N_rows_right

protected

Output rows.

Definition at line 50 of file dnn_layer_base.h.

◆ opt_alg

opt* dnn::layer::opt_alg

protected

Pointer to optimizer.

Definition at line 43 of file dnn_layer_base.h.

◆ phase

PHASE dnn::layer::phase

protected

Active state/phase.

Definition at line 44 of file dnn_layer_base.h.

◆ right

layer* dnn::layer::right

protected

Pointer to next layer.

Definition at line 36 of file dnn_layer_base.h.

◆ train_par

bool dnn::layer::train_par

protected

Enable training.

Definition at line 41 of file dnn_layer_base.h.

◆ type

std::string dnn::layer::type

protected

Layer type string.

Definition at line 39 of file dnn_layer_base.h.

◆ W

arma::Cube<DNN_Dtype> dnn::layer::W

protected

Weights.

Definition at line 59 of file dnn_layer_base.h.

◆ Y

arma::Mat<DNN_Dtype> dnn::layer::Y

protected

Output buffer mini batch [N_right,N_batch].

Definition at line 56 of file dnn_layer_base.h.

◆ Y1

arma::Mat<DNN_Dtype> dnn::layer::Y1

protected

Output buffer [N_right,1].

Definition at line 57 of file dnn_layer_base.h.

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

dnn_layer_base.h

Public Member Functions

Protected Attributes

Friends

Detailed Description

Constructor & Destructor Documentation

◆ layer()

◆ ~layer()

Member Function Documentation

◆ backprop()

◆ disable_bias()

◆ disable_training()

◆ disp()

◆ enable_bias()

◆ enable_training()

◆ get_B()

◆ get_batch_size()

◆ get_Dleft()

◆ get_Dleft_colptr()

◆ get_Dleft_memptr()

◆ get_Dleft_ptr()

◆ get_id()

◆ get_ix()

◆ get_nrof_channels()

◆ get_nrof_cols()

◆ get_nrof_inputs()

◆ get_nrof_outputs()

◆ get_nrof_params()

◆ get_nrof_rows()

◆ get_opt_alg()

◆ get_type()

◆ get_W()

◆ get_Y()

◆ get_Y1()

◆ get_Y1_memptr()

◆ get_Y1_ptr()

◆ get_Y_colptr()

◆ get_Y_memptr()

◆ get_Y_ptr()

◆ init()

◆ init_weights()

◆ load_layer_param()

◆ prop()

◆ prop_mb()

◆ save_layer_param()

◆ set_B()

◆ set_batch_size()

◆ set_channels_in()

◆ set_cols_in()

◆ set_Dleft()

◆ set_id()

◆ set_ix()

◆ set_left()

◆ set_opt_alg()

◆ set_phase()

◆ set_right()

◆ set_rows_in()

◆ set_type()

◆ set_W()

◆ set_Y()

◆ set_Y1()

◆ sigmoid() [1/2]

◆ sigmoid() [2/2]

◆ softmax()

◆ upd_buf_size()

◆ update()

Friends And Related Function Documentation

◆ operator<<

Member Data Documentation

◆ add_bias

◆ B

◆ Dleft

◆ id

◆ layer_ix

◆ left

◆ N_batch

◆ N_channels_left

◆ N_channels_right

◆ N_cols_left

◆ N_cols_right

◆ N_left