ONE - On-device Neural Engine
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Data Structures | Public Member Functions
onert::util::MinMaxMap< N, Hash > Class Template Reference

#include <MinMaxMap.h>

Public Member Functions

void append (N node, float min, float max)
 
auto begin () const
 
auto end () const
 
auto size () const
 

Detailed Description

template<typename N, typename Hash = std::hash<N>>
class onert::util::MinMaxMap< N, Hash >

Definition at line 28 of file MinMaxMap.h.

Member Function Documentation

◆ append()

template<typename N , typename Hash = std::hash<N>>
void onert::util::MinMaxMap< N, Hash >::append ( N  node,
float  min,
float  max 
)
inline

Definition at line 36 of file MinMaxMap.h.

36{ _minmax_map[node] = {min, max}; }

Referenced by onert::exec::MinMaxRecorder::handleJobEnd(), and onert::exec::MinMaxRecorder::handleSubgraphBegin().

◆ begin()

template<typename N , typename Hash = std::hash<N>>
auto onert::util::MinMaxMap< N, Hash >::begin ( ) const
inline

Definition at line 37 of file MinMaxMap.h.

37{ return _minmax_map.begin(); }

◆ end()

template<typename N , typename Hash = std::hash<N>>
auto onert::util::MinMaxMap< N, Hash >::end ( ) const
inline

Definition at line 38 of file MinMaxMap.h.

38{ return _minmax_map.end(); }

◆ size()

template<typename N , typename Hash = std::hash<N>>
auto onert::util::MinMaxMap< N, Hash >::size ( ) const
inline

Definition at line 39 of file MinMaxMap.h.

39{ return _minmax_map.size(); }

Referenced by onert::exec::RawMinMaxDumper::dump().

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