#include <network.h>

Inheritance diagram for tesseract::Network:

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Collaboration diagram for tesseract::Network:

[legend]

Public Member Functions
	Network ()

	Network (NetworkType type, const STRING &name, int ni, int no)

virtual	~Network ()=default

NetworkType	type () const

bool	IsTraining () const

bool	needs_to_backprop () const

int	num_weights () const

int	NumInputs () const

int	NumOutputs () const

virtual StaticShape	InputShape () const

virtual StaticShape	OutputShape (const StaticShape &input_shape) const

const STRING &	name () const

virtual STRING	spec () const

bool	TestFlag (NetworkFlags flag) const

virtual bool	IsPlumbingType () const

virtual void	SetEnableTraining (TrainingState state)

virtual void	SetNetworkFlags (uint32_t flags)

virtual int	InitWeights (float range, TRand *randomizer)

virtual int	RemapOutputs (int old_no, const std::vector< int > &code_map)

virtual void	ConvertToInt ()

virtual void	SetRandomizer (TRand *randomizer)

virtual bool	SetupNeedsBackprop (bool needs_backprop)

virtual int	XScaleFactor () const

virtual void	CacheXScaleFactor (int factor)

virtual void	DebugWeights ()

virtual bool	Serialize (TFile *fp) const

virtual bool	DeSerialize (TFile *fp)

virtual void	Update (float learning_rate, float momentum, float adam_beta, int num_samples)

virtual void	CountAlternators (const Network &other, double same, double changed) const

virtual void	Forward (bool debug, const NetworkIO &input, const TransposedArray input_transpose, NetworkScratch scratch, NetworkIO *output)

virtual bool	Backward (bool debug, const NetworkIO &fwd_deltas, NetworkScratch scratch, NetworkIO back_deltas)

void	DisplayForward (const NetworkIO &matrix)

void	DisplayBackward (const NetworkIO &matrix)

Static Public Member Functions
static Network *	CreateFromFile (TFile *fp)

static void	ClearWindow (bool tess_coords, const char window_name, int width, int height, ScrollView *window)

static int	DisplayImage (Pix pix, ScrollView window)

Protected Member Functions
double	Random (double range)

Protected Attributes
NetworkType	type_

TrainingState	training_

bool	needs_to_backprop_

int32_t	network_flags_

int32_t	ni_

int32_t	no_

int32_t	num_weights_

STRING	name_

ScrollView *	forward_win_

ScrollView *	backward_win_

TRand *	randomizer_

Static Protected Attributes
static char const *const	kTypeNames [NT_COUNT]

Constructor & Destructor Documentation

◆ Network() [1/2]

tesseract::Network::Network ( )

◆ Network() [2/2]

tesseract::Network::Network	(	NetworkType	type,
		const STRING &	name,
		int	ni,
		int	no
	)

◆ ~Network()

virtual tesseract::Network::~Network ( )

virtualdefault

Member Function Documentation

◆ Backward()

virtual bool tesseract::Network::Backward	(	bool	debug,
		const NetworkIO &	fwd_deltas,
		NetworkScratch *	scratch,
		NetworkIO *	back_deltas
	)

inlinevirtual

Reimplemented in tesseract::LSTM, tesseract::FullyConnected, tesseract::Reversed, tesseract::Series, tesseract::Input, tesseract::Parallel, tesseract::Reconfig, tesseract::Convolve, and tesseract::Maxpool.

◆ CacheXScaleFactor()

virtual void tesseract::Network::CacheXScaleFactor ( int factor )

inlinevirtual

Reimplemented in tesseract::Plumbing, tesseract::Series, and tesseract::Input.

◆ ClearWindow()

void tesseract::Network::ClearWindow	(	bool	tess_coords,
		const char *	window_name,
		int	width,
		int	height,
		ScrollView **	window
	)

static

◆ ConvertToInt()

virtual void tesseract::Network::ConvertToInt ( )

inlinevirtual

Reimplemented in tesseract::LSTM, tesseract::FullyConnected, and tesseract::Plumbing.

◆ CountAlternators()

virtual void tesseract::Network::CountAlternators	(	const Network &	other,
		double *	same,
		double *	changed
	)		const

inlinevirtual

Reimplemented in tesseract::Plumbing, tesseract::FullyConnected, and tesseract::LSTM.

◆ CreateFromFile()

Network * tesseract::Network::CreateFromFile ( TFile * fp )

static

◆ DebugWeights()

virtual void tesseract::Network::DebugWeights ( )

inlinevirtual

Reimplemented in tesseract::Plumbing, tesseract::LSTM, and tesseract::FullyConnected.

◆ DeSerialize()

bool tesseract::Network::DeSerialize ( TFile * fp )

virtual

Reimplemented in tesseract::Plumbing, tesseract::LSTM, tesseract::FullyConnected, tesseract::Reconfig, tesseract::Input, tesseract::Convolve, and tesseract::Maxpool.

◆ DisplayBackward()

void tesseract::Network::DisplayBackward ( const NetworkIO & matrix )

◆ DisplayForward()

void tesseract::Network::DisplayForward ( const NetworkIO & matrix )

◆ DisplayImage()

int tesseract::Network::DisplayImage	(	Pix *	pix,
		ScrollView *	window
	)

static

◆ Forward()

virtual void tesseract::Network::Forward	(	bool	debug,
		const NetworkIO &	input,
		const TransposedArray *	input_transpose,
		NetworkScratch *	scratch,
		NetworkIO *	output
	)

inlinevirtual

Reimplemented in tesseract::LSTM, tesseract::FullyConnected, tesseract::Reversed, tesseract::Series, tesseract::Input, tesseract::Parallel, tesseract::Reconfig, tesseract::Convolve, and tesseract::Maxpool.

◆ InitWeights()

int tesseract::Network::InitWeights	(	float	range,
		TRand *	randomizer
	)

virtual

Reimplemented in tesseract::LSTM, tesseract::FullyConnected, tesseract::Plumbing, and tesseract::Series.

◆ InputShape()

virtual StaticShape tesseract::Network::InputShape ( ) const

inlinevirtual

Reimplemented in tesseract::Input, and tesseract::Plumbing.

◆ IsPlumbingType()

virtual bool tesseract::Network::IsPlumbingType ( ) const

inlinevirtual

Reimplemented in tesseract::Plumbing.

◆ IsTraining()

bool tesseract::Network::IsTraining ( ) const

inline

◆ name()

const STRING& tesseract::Network::name ( ) const

inline

◆ needs_to_backprop()

bool tesseract::Network::needs_to_backprop ( ) const

inline

◆ num_weights()

int tesseract::Network::num_weights ( ) const

inline

◆ NumInputs()

int tesseract::Network::NumInputs ( ) const

inline

◆ NumOutputs()

int tesseract::Network::NumOutputs ( ) const

inline

◆ OutputShape()

virtual StaticShape tesseract::Network::OutputShape ( const StaticShape & input_shape ) const

inlinevirtual

Reimplemented in tesseract::LSTM, tesseract::Input, tesseract::Reconfig, tesseract::FullyConnected, tesseract::Parallel, tesseract::Reversed, and tesseract::Series.

◆ Random()

double tesseract::Network::Random ( double range )

protected

◆ RemapOutputs()

virtual int tesseract::Network::RemapOutputs	(	int	old_no,
		const std::vector< int > &	code_map
	)

inlinevirtual

Reimplemented in tesseract::LSTM, tesseract::FullyConnected, tesseract::Plumbing, and tesseract::Series.

◆ Serialize()

bool tesseract::Network::Serialize ( TFile * fp ) const

virtual

Reimplemented in tesseract::Plumbing, tesseract::LSTM, tesseract::FullyConnected, tesseract::Reconfig, tesseract::Input, and tesseract::Convolve.

◆ SetEnableTraining()

void tesseract::Network::SetEnableTraining ( TrainingState state )

virtual

Reimplemented in tesseract::LSTM, tesseract::FullyConnected, and tesseract::Plumbing.

◆ SetNetworkFlags()

void tesseract::Network::SetNetworkFlags ( uint32_t flags )

virtual

Reimplemented in tesseract::Plumbing.

◆ SetRandomizer()

void tesseract::Network::SetRandomizer ( TRand * randomizer )

virtual

Reimplemented in tesseract::Plumbing.

◆ SetupNeedsBackprop()

bool tesseract::Network::SetupNeedsBackprop ( bool needs_backprop )

virtual

Reimplemented in tesseract::Plumbing, and tesseract::Series.

◆ spec()

virtual STRING tesseract::Network::spec ( ) const

inlinevirtual

Reimplemented in tesseract::LSTM, tesseract::Reconfig, tesseract::Convolve, tesseract::Plumbing, tesseract::FullyConnected, tesseract::Parallel, tesseract::Reversed, tesseract::Series, tesseract::Maxpool, and tesseract::Input.

◆ TestFlag()

bool tesseract::Network::TestFlag ( NetworkFlags flag ) const

inline

◆ type()

NetworkType tesseract::Network::type ( ) const

inline

◆ Update()

virtual void tesseract::Network::Update	(	float	learning_rate,
		float	momentum,
		float	adam_beta,
		int	num_samples
	)

inlinevirtual

Reimplemented in tesseract::Plumbing, tesseract::FullyConnected, and tesseract::LSTM.

◆ XScaleFactor()

virtual int tesseract::Network::XScaleFactor ( ) const

inlinevirtual

Reimplemented in tesseract::Plumbing, tesseract::Series, tesseract::Input, and tesseract::Reconfig.

Member Data Documentation

◆ backward_win_

ScrollView* tesseract::Network::backward_win_

protected

◆ forward_win_

ScrollView* tesseract::Network::forward_win_

protected

◆ kTypeNames

char const *const tesseract::Network::kTypeNames

staticprotected

Initial value:

= {
    "Invalid",     "Input",
    "Convolve",    "Maxpool",
    "Parallel",    "Replicated",
    "ParBidiLSTM", "DepParUDLSTM",
    "Par2dLSTM",   "Series",
    "Reconfig",    "RTLReversed",
    "TTBReversed", "XYTranspose",
    "LSTM",        "SummLSTM",
    "Logistic",    "LinLogistic",
    "LinTanh",     "Tanh",
    "Relu",        "Linear",
    "Softmax",     "SoftmaxNoCTC",
    "LSTMSoftmax", "LSTMBinarySoftmax",
    "TensorFlow",
}

◆ name_

STRING tesseract::Network::name_

protected

◆ needs_to_backprop_

bool tesseract::Network::needs_to_backprop_

protected

◆ network_flags_

int32_t tesseract::Network::network_flags_

protected

◆ ni_

int32_t tesseract::Network::ni_

protected

◆ no_

int32_t tesseract::Network::no_

protected

◆ num_weights_

int32_t tesseract::Network::num_weights_

protected

◆ randomizer_

TRand* tesseract::Network::randomizer_

protected

◆ training_

TrainingState tesseract::Network::training_

protected

◆ type_

NetworkType tesseract::Network::type_

protected

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

/home/stephane/src/tesseract/src/lstm/network.h
/home/stephane/src/tesseract/src/lstm/network.cpp

Public Member Functions

Static Public Member Functions

Protected Member Functions

Protected Attributes

Static Protected Attributes

Constructor & Destructor Documentation

◆ Network() [1/2]

◆ Network() [2/2]

◆ ~Network()

Member Function Documentation

◆ Backward()

◆ CacheXScaleFactor()

◆ ClearWindow()

◆ ConvertToInt()

◆ CountAlternators()

◆ CreateFromFile()

◆ DebugWeights()

◆ DeSerialize()

◆ DisplayBackward()

◆ DisplayForward()

◆ DisplayImage()

◆ Forward()

◆ InitWeights()

◆ InputShape()

◆ IsPlumbingType()

◆ IsTraining()

◆ name()

◆ needs_to_backprop()

◆ num_weights()

◆ NumInputs()

◆ NumOutputs()

◆ OutputShape()

◆ Random()

◆ RemapOutputs()

◆ Serialize()

◆ SetEnableTraining()

◆ SetNetworkFlags()

◆ SetRandomizer()

◆ SetupNeedsBackprop()

◆ spec()

◆ TestFlag()

◆ type()

◆ Update()

◆ XScaleFactor()

Member Data Documentation

◆ backward_win_

◆ forward_win_

◆ kTypeNames

◆ name_

◆ needs_to_backprop_

◆ network_flags_

◆ ni_

◆ no_

◆ num_weights_

◆ randomizer_

◆ training_

◆ type_