tesseract::NetworkIO Class Reference

#include <networkio.h>

Collaboration diagram for tesseract::NetworkIO:

Public Member Functions
	NetworkIO ()
void	Resize (const NetworkIO &src, int num_features)
void	Resize2d (bool int_mode, int width, int num_features)
void	ResizeFloat (const NetworkIO &src, int num_features)
void	ResizeToMap (bool int_mode, const StrideMap &stride_map, int num_features)
void	ResizeScaled (const NetworkIO &src, int x_scale, int y_scale, int num_features)
void	ResizeXTo1 (const NetworkIO &src, int num_features)
void	Zero ()
void	ZeroInvalidElements ()
void	FromPix (const StaticShape &shape, const Pix *pix, TRand *randomizer)
void	FromPixes (const StaticShape &shape, const std::vector< const Pix *> &pixes, TRand *randomizer)
void	Copy2DImage (int batch, Pix *pix, float black, float contrast, TRand *randomizer)
void	Copy1DGreyImage (int batch, Pix *pix, float black, float contrast, TRand *randomizer)
void	SetPixel (int t, int f, int pixel, float black, float contrast)
Pix *	ToPix () const
void	Print (int num) const
int	Width () const
int	NumFeatures () const
float *	f (int t)
const float *	f (int t) const
const int8_t *	i (int t) const
bool	int_mode () const
void	set_int_mode (bool is_quantized)
const StrideMap &	stride_map () const
void	set_stride_map (const StrideMap &map)
const GENERIC_2D_ARRAY< float > &	float_array () const
GENERIC_2D_ARRAY< float > *	mutable_float_array ()
void	CopyTimeStepFrom (int dest_t, const NetworkIO &src, int src_t)
void	CopyTimeStepGeneral (int dest_t, int dest_offset, int num_features, const NetworkIO &src, int src_t, int src_offset)
void	ZeroTimeStep (int t)
void	ZeroTimeStepGeneral (int t, int offset, int num_features)
void	Randomize (int t, int offset, int num_features, TRand *randomizer)
int	BestChoiceOverRange (int t_start, int t_end, int not_this, int null_ch, float *rating, float *certainty) const
void	ScoresOverRange (int t_start, int t_end, int choice, int null_ch, float *rating, float *certainty) const
int	BestLabel (int t, float *score) const
int	BestLabel (int t, int not_this, int not_that, float *score) const
int	PositionOfBestMatch (const GenericVector< int > &labels, int start, int end) const
double	ScoreOfLabels (const GenericVector< int > &labels, int start) const
void	SetActivations (int t, int label, float ok_score)
void	EnsureBestLabel (int t, int label)
bool	AnySuspiciousTruth (float confidence_thr) const
void	ReadTimeStep (int t, double *output) const
void	AddTimeStep (int t, double *inout) const
void	AddTimeStepPart (int t, int offset, int num_features, float *inout) const
void	WriteTimeStep (int t, const double *input)
void	WriteTimeStepPart (int t, int offset, int num_features, const double *input)
void	MaxpoolTimeStep (int dest_t, const NetworkIO &src, int src_t, int *max_line)
void	MaxpoolBackward (const NetworkIO &fwd, const GENERIC_2D_ARRAY< int > &maxes)
float	MinOfMaxes () const
float	Max () const
void	CombineOutputs (const NetworkIO &base_output, const NetworkIO &combiner_output)
void	ComputeCombinerDeltas (const NetworkIO &fwd_deltas, const NetworkIO &base_output)
void	CopyAll (const NetworkIO &src)
void	AddAllToFloat (const NetworkIO &src)
void	SubtractAllFromFloat (const NetworkIO &src)
void	CopyWithNormalization (const NetworkIO &src, const NetworkIO &scale)
void	ScaleFloatBy (float factor)
void	CopyWithYReversal (const NetworkIO &src)
void	CopyWithXReversal (const NetworkIO &src)
void	CopyWithXYTranspose (const NetworkIO &src)
int	CopyPacking (const NetworkIO &src, int feature_offset)
void	CopyUnpacking (const NetworkIO &src, int feature_offset, int num_features)
void	Transpose (TransposedArray *dest) const
void	ClipVector (int t, float range)
template<class Func >
void	FuncMultiply (const NetworkIO &v_io, int t, double *product)
template<class Func >
void	FuncMultiply3 (int u_t, const NetworkIO &v_io, int v_t, const double *w, double *product) const
template<class Func >
void	FuncMultiply3Add (const NetworkIO &v_io, int t, const double *w, double *product) const
template<class Func1 , class Func2 >
void	Func2Multiply3 (const NetworkIO &v_io, int t, const double *w, double *product) const

Static Public Member Functions
static float	ProbToCertainty (float prob)

Static Private Member Functions
static int	GetPadding (int num_features)

Private Attributes
GENERIC_2D_ARRAY< float >	f_
GENERIC_2D_ARRAY< int8_t >	i_
bool	int_mode_
StrideMap	stride_map_

Static Private Attributes
static IntSimdMatrix *	multiplier_ = nullptr

Constructor & Destructor Documentation

NetworkIO()

tesseract::NetworkIO::NetworkIO ( )

inline

Member Function Documentation

AddAllToFloat()

void tesseract::NetworkIO::AddAllToFloat

(

const NetworkIO &

src

)

AddTimeStep()

void tesseract::NetworkIO::AddTimeStep	(	int	t,
		double *	inout
	)		const

AddTimeStepPart()

void tesseract::NetworkIO::AddTimeStepPart	(	int	t,
		int	offset,
		int	num_features,
		float *	inout
	)		const

AnySuspiciousTruth()

bool tesseract::NetworkIO::AnySuspiciousTruth

(

float

confidence_thr

)

const

BestChoiceOverRange()

int tesseract::NetworkIO::BestChoiceOverRange	(	int	t_start,
		int	t_end,
		int	not_this,
		int	null_ch,
		float *	rating,
		float *	certainty
	)		const

BestLabel() [1/2]

int tesseract::NetworkIO::BestLabel ( int  t, float *  score  ) const

inline

BestLabel() [2/2]

int tesseract::NetworkIO::BestLabel	(	int	t,
		int	not_this,
		int	not_that,
		float *	score
	)		const

ClipVector()

void tesseract::NetworkIO::ClipVector	(	int	t,
		float	range
	)

CombineOutputs()

void tesseract::NetworkIO::CombineOutputs	(	const NetworkIO &	base_output,
		const NetworkIO &	combiner_output
	)

ComputeCombinerDeltas()

void tesseract::NetworkIO::ComputeCombinerDeltas	(	const NetworkIO &	fwd_deltas,
		const NetworkIO &	base_output
	)

Copy1DGreyImage()

void tesseract::NetworkIO::Copy1DGreyImage	(	int	batch,
		Pix *	pix,
		float	black,
		float	contrast,
		TRand *	randomizer
	)

Copy2DImage()

void tesseract::NetworkIO::Copy2DImage	(	int	batch,
		Pix *	pix,
		float	black,
		float	contrast,
		TRand *	randomizer
	)

CopyAll()

void tesseract::NetworkIO::CopyAll

(

const NetworkIO &

src

)

CopyPacking()

int tesseract::NetworkIO::CopyPacking	(	const NetworkIO &	src,
		int	feature_offset
	)

CopyTimeStepFrom()

void tesseract::NetworkIO::CopyTimeStepFrom	(	int	dest_t,
		const NetworkIO &	src,
		int	src_t
	)

CopyTimeStepGeneral()

void tesseract::NetworkIO::CopyTimeStepGeneral	(	int	dest_t,
		int	dest_offset,
		int	num_features,
		const NetworkIO &	src,
		int	src_t,
		int	src_offset
	)

CopyUnpacking()

void tesseract::NetworkIO::CopyUnpacking	(	const NetworkIO &	src,
		int	feature_offset,
		int	num_features
	)

CopyWithNormalization()

void tesseract::NetworkIO::CopyWithNormalization	(	const NetworkIO &	src,
		const NetworkIO &	scale
	)

CopyWithXReversal()

void tesseract::NetworkIO::CopyWithXReversal

(

const NetworkIO &

src

)

CopyWithXYTranspose()

void tesseract::NetworkIO::CopyWithXYTranspose

(

const NetworkIO &

src

)

CopyWithYReversal()

void tesseract::NetworkIO::CopyWithYReversal

(

const NetworkIO &

src

)

EnsureBestLabel()

void tesseract::NetworkIO::EnsureBestLabel	(	int	t,
		int	label
	)

f() [1/2]

float* tesseract::NetworkIO::f ( int  t )

inline

f() [2/2]

const float* tesseract::NetworkIO::f ( int  t ) const

inline

float_array()

const GENERIC_2D_ARRAY<float>& tesseract::NetworkIO::float_array ( ) const

inline

FromPix()

void tesseract::NetworkIO::FromPix	(	const StaticShape &	shape,
		const Pix *	pix,
		TRand *	randomizer
	)

FromPixes()

void tesseract::NetworkIO::FromPixes	(	const StaticShape &	shape,
		const std::vector< const Pix *> &	pixes,
		TRand *	randomizer
	)

Func2Multiply3()

template<class Func1 , class Func2 >

void tesseract::NetworkIO::Func2Multiply3 ( const NetworkIO &  v_io, int  t, const double *  w, double *  product  ) const

inline

FuncMultiply()

template<class Func >

void tesseract::NetworkIO::FuncMultiply ( const NetworkIO &  v_io, int  t, double *  product  )

inline

FuncMultiply3()

template<class Func >

void tesseract::NetworkIO::FuncMultiply3 ( int  u_t, const NetworkIO &  v_io, int  v_t, const double *  w, double *  product  ) const

inline

FuncMultiply3Add()

template<class Func >

void tesseract::NetworkIO::FuncMultiply3Add ( const NetworkIO &  v_io, int  t, const double *  w, double *  product  ) const

inline

GetPadding()

int tesseract::NetworkIO::GetPadding ( int  num_features )

staticprivate

i()

const int8_t* tesseract::NetworkIO::i ( int  t ) const

inline

int_mode()

bool tesseract::NetworkIO::int_mode ( ) const

inline

Max()

float tesseract::NetworkIO::Max ( ) const

inline

MaxpoolBackward()

void tesseract::NetworkIO::MaxpoolBackward	(	const NetworkIO &	fwd,
		const GENERIC_2D_ARRAY< int > &	maxes
	)

MaxpoolTimeStep()

void tesseract::NetworkIO::MaxpoolTimeStep	(	int	dest_t,
		const NetworkIO &	src,
		int	src_t,
		int *	max_line
	)

MinOfMaxes()

float tesseract::NetworkIO::MinOfMaxes

(

)

const

mutable_float_array()

GENERIC_2D_ARRAY<float>* tesseract::NetworkIO::mutable_float_array ( )

inline

NumFeatures()

int tesseract::NetworkIO::NumFeatures ( ) const

inline

PositionOfBestMatch()

int tesseract::NetworkIO::PositionOfBestMatch	(	const GenericVector< int > &	labels,
		int	start,
		int	end
	)		const

Print()

void tesseract::NetworkIO::Print

(

int

num

)

const

ProbToCertainty()

float tesseract::NetworkIO::ProbToCertainty ( float  prob )

static

Randomize()

void tesseract::NetworkIO::Randomize	(	int	t,
		int	offset,
		int	num_features,
		TRand *	randomizer
	)

ReadTimeStep()

void tesseract::NetworkIO::ReadTimeStep	(	int	t,
		double *	output
	)		const

Resize()

void tesseract::NetworkIO::Resize ( const NetworkIO &  src, int  num_features  )

inline

Resize2d()

void tesseract::NetworkIO::Resize2d	(	bool	int_mode,
		int	width,
		int	num_features
	)

ResizeFloat()

void tesseract::NetworkIO::ResizeFloat ( const NetworkIO &  src, int  num_features  )

inline

ResizeScaled()

void tesseract::NetworkIO::ResizeScaled	(	const NetworkIO &	src,
		int	x_scale,
		int	y_scale,
		int	num_features
	)

ResizeToMap()

void tesseract::NetworkIO::ResizeToMap	(	bool	int_mode,
		const StrideMap &	stride_map,
		int	num_features
	)

ResizeXTo1()

void tesseract::NetworkIO::ResizeXTo1	(	const NetworkIO &	src,
		int	num_features
	)

ScaleFloatBy()

void tesseract::NetworkIO::ScaleFloatBy ( float  factor )

inline

ScoreOfLabels()

double tesseract::NetworkIO::ScoreOfLabels	(	const GenericVector< int > &	labels,
		int	start
	)		const

ScoresOverRange()

void tesseract::NetworkIO::ScoresOverRange	(	int	t_start,
		int	t_end,
		int	choice,
		int	null_ch,
		float *	rating,
		float *	certainty
	)		const

set_int_mode()

void tesseract::NetworkIO::set_int_mode ( bool  is_quantized )

inline

set_stride_map()

void tesseract::NetworkIO::set_stride_map ( const StrideMap &  map )

inline

SetActivations()

void tesseract::NetworkIO::SetActivations	(	int	t,
		int	label,
		float	ok_score
	)

SetPixel()

void tesseract::NetworkIO::SetPixel	(	int	t,
		int	f,
		int	pixel,
		float	black,
		float	contrast
	)

stride_map()

const StrideMap& tesseract::NetworkIO::stride_map ( ) const

inline

SubtractAllFromFloat()

void tesseract::NetworkIO::SubtractAllFromFloat

(

const NetworkIO &

src

)

ToPix()

Pix * tesseract::NetworkIO::ToPix

(

)

const

Transpose()

void tesseract::NetworkIO::Transpose

(

TransposedArray *

dest

)

const

Width()

int tesseract::NetworkIO::Width ( ) const

inline

WriteTimeStep()

void tesseract::NetworkIO::WriteTimeStep	(	int	t,
		const double *	input
	)

WriteTimeStepPart()

void tesseract::NetworkIO::WriteTimeStepPart	(	int	t,
		int	offset,
		int	num_features,
		const double *	input
	)

Zero()

void tesseract::NetworkIO::Zero

(

)

ZeroInvalidElements()

void tesseract::NetworkIO::ZeroInvalidElements

(

)

ZeroTimeStep()

void tesseract::NetworkIO::ZeroTimeStep ( int  t )

inline

ZeroTimeStepGeneral()

void tesseract::NetworkIO::ZeroTimeStepGeneral	(	int	t,
		int	offset,
		int	num_features
	)

Member Data Documentation

f_

GENERIC_2D_ARRAY<float> tesseract::NetworkIO::f_

private

i_

GENERIC_2D_ARRAY<int8_t> tesseract::NetworkIO::i_

private

int_mode_

bool tesseract::NetworkIO::int_mode_

private

multiplier_

IntSimdMatrix * tesseract::NetworkIO::multiplier_ = nullptr

staticprivate

stride_map_

StrideMap tesseract::NetworkIO::stride_map_

private

---

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

• /home/stephane/src/tesseract/src/lstm/networkio.h
• /home/stephane/src/tesseract/src/lstm/networkio.cpp