lm::ngram::SeparatelyQuantize Class Reference

#include <quantize.hh>

List of all members.

Classes
class	Bins
class	Longest
class	Middle
Public Member Functions
	SeparatelyQuantize ()
void	SetupMemory (void *start, const Config &config)
void	Train (uint8_t order, std::vector< float > &prob, std::vector< float > &backoff)
void	TrainProb (uint8_t order, std::vector< float > &prob)
void	FinishedLoading (const Config &config)
Middle	Mid (uint8_t order) const
Longest	Long (uint8_t order) const
Static Public Member Functions
static void	UpdateConfigFromBinary (int fd, const std::vector< uint64_t > &counts, Config &config)
static std::size_t	Size (uint8_t order, const Config &config)
static uint8_t	MiddleBits (const Config &config)
static uint8_t	LongestBits (const Config &config)
Static Public Attributes
static const ModelType	kModelTypeAdd = kQuantAdd
static const bool	kTrain = true
Private Member Functions
size_t	TableStart (uint8_t order) const
size_t	ProbTableLength () const
Private Attributes
float *	start_
uint8_t	prob_bits_
uint8_t	backoff_bits_

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Constructor & Destructor Documentation

lm::ngram::SeparatelyQuantize::SeparatelyQuantize

(

)

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Member Function Documentation

void lm::ngram::SeparatelyQuantize::FinishedLoading

(

const Config &

config

)

Longest lm::ngram::SeparatelyQuantize::Long

(

uint8_t

order

)

const

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static uint8_t lm::ngram::SeparatelyQuantize::LongestBits

(

const Config &

config

)

[static]

Middle lm::ngram::SeparatelyQuantize::Mid

(

uint8_t

order

)

const

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static uint8_t lm::ngram::SeparatelyQuantize::MiddleBits

(

const Config &

config

)

[static]

size_t lm::ngram::SeparatelyQuantize::ProbTableLength

(

)

const [private]

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void lm::ngram::SeparatelyQuantize::SetupMemory	(	void *	start,
		const Config &	config
	)

static std::size_t lm::ngram::SeparatelyQuantize::Size	(	uint8_t	order,
		const Config &	config
	)		[static]

size_t lm::ngram::SeparatelyQuantize::TableStart

(

uint8_t

order

)

const [private]

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void lm::ngram::SeparatelyQuantize::Train	(	uint8_t	order,
		std::vector< float > &	prob,
		std::vector< float > &	backoff
	)

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void lm::ngram::SeparatelyQuantize::TrainProb	(	uint8_t	order,
		std::vector< float > &	prob
	)

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void lm::ngram::SeparatelyQuantize::UpdateConfigFromBinary	(	int	fd,
		const std::vector< uint64_t > &	counts,
		Config &	config
	)		[static]

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Member Data Documentation

uint8_t lm::ngram::SeparatelyQuantize::backoff_bits_ [private]

const ModelType lm::ngram::SeparatelyQuantize::kModelTypeAdd = kQuantAdd [static]

const bool lm::ngram::SeparatelyQuantize::kTrain = true [static]

uint8_t lm::ngram::SeparatelyQuantize::prob_bits_ [private]

float* lm::ngram::SeparatelyQuantize::start_ [private]