deeplima::RnnSequenceClassifier< Model, InputVectorizer, Out >::slot_t Struct Reference

slot_t represents the part of the job processed by a classifier thread (tokenizer or tagger). More...

#include <deeplima/nets/birnn_seq_cls.h>

Public Member Functions
	slot_t ()
	slot_t (const slot_t &s)
	~slot_t ()=default
slot_t &	operator= (const slot_t &s)

Public Attributes
uint64_t	m_input_begin
uint64_t	m_input_end
uint64_t	m_output_begin
uint64_t	m_output_end
slot_flags_t	m_flags
bool	m_work_started
std::atomic< uint8_t >	m_lock_count
slot_t *	m_prev
slot_t *	m_next
std::vector< size_t >	m_lengths

Detailed Description

template<class Model, class InputVectorizer, class Out>
struct deeplima::RnnSequenceClassifier< Model, InputVectorizer, Out >::slot_t

slot_t represents the part of the job processed by a classifier thread (tokenizer or tagger).

Definition at line 100 of file birnn_seq_cls.h.

Constructor & Destructor Documentation

slot_t() [1/2]

template<class Model , class InputVectorizer , class Out >

deeplima::RnnSequenceClassifier< Model, InputVectorizer, Out >::slot_t::slot_t ( )

inline

Definition at line 120 of file birnn_seq_cls.h.

slot_t() [2/2]

template<class Model , class InputVectorizer , class Out >

deeplima::RnnSequenceClassifier< Model, InputVectorizer, Out >::slot_t::slot_t ( const slot_t &  s )

inline

Definition at line 132 of file birnn_seq_cls.h.

~slot_t()

template<class Model , class InputVectorizer , class Out >

deeplima::RnnSequenceClassifier< Model, InputVectorizer, Out >::slot_t::~slot_t ( )

default

Member Function Documentation

operator=()

template<class Model , class InputVectorizer , class Out >

slot_t & deeplima::RnnSequenceClassifier< Model, InputVectorizer, Out >::slot_t::operator= ( const slot_t &  s )

inline

Definition at line 145 of file birnn_seq_cls.h.

Member Data Documentation

m_flags

template<class Model , class InputVectorizer , class Out >

slot_flags_t deeplima::RnnSequenceClassifier< Model, InputVectorizer, Out >::slot_t::m_flags

Definition at line 110 of file birnn_seq_cls.h.

m_input_begin

template<class Model , class InputVectorizer , class Out >

uint64_t deeplima::RnnSequenceClassifier< Model, InputVectorizer, Out >::slot_t::m_input_begin

Definition at line 103 of file birnn_seq_cls.h.

m_input_end

template<class Model , class InputVectorizer , class Out >

uint64_t deeplima::RnnSequenceClassifier< Model, InputVectorizer, Out >::slot_t::m_input_end

Definition at line 104 of file birnn_seq_cls.h.

m_lengths

template<class Model , class InputVectorizer , class Out >

std::vector<size_t> deeplima::RnnSequenceClassifier< Model, InputVectorizer, Out >::slot_t::m_lengths

Definition at line 118 of file birnn_seq_cls.h.

m_lock_count

template<class Model , class InputVectorizer , class Out >

std::atomic<uint8_t> deeplima::RnnSequenceClassifier< Model, InputVectorizer, Out >::slot_t::m_lock_count

Definition at line 113 of file birnn_seq_cls.h.

m_next

template<class Model , class InputVectorizer , class Out >

slot_t* deeplima::RnnSequenceClassifier< Model, InputVectorizer, Out >::slot_t::m_next

Definition at line 116 of file birnn_seq_cls.h.

m_output_begin

template<class Model , class InputVectorizer , class Out >

uint64_t deeplima::RnnSequenceClassifier< Model, InputVectorizer, Out >::slot_t::m_output_begin

Definition at line 107 of file birnn_seq_cls.h.

m_output_end

template<class Model , class InputVectorizer , class Out >

uint64_t deeplima::RnnSequenceClassifier< Model, InputVectorizer, Out >::slot_t::m_output_end

Definition at line 108 of file birnn_seq_cls.h.

m_prev

template<class Model , class InputVectorizer , class Out >

slot_t* deeplima::RnnSequenceClassifier< Model, InputVectorizer, Out >::slot_t::m_prev

Definition at line 115 of file birnn_seq_cls.h.

m_work_started

template<class Model , class InputVectorizer , class Out >

bool deeplima::RnnSequenceClassifier< Model, InputVectorizer, Out >::slot_t::m_work_started

Definition at line 112 of file birnn_seq_cls.h.

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

• deeplima/include/deeplima/nets/birnn_seq_cls.h