ONE - On-device Neural Engine
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onert::backend::cpu::ops::RangeLayer Class Reference

#include <RangeLayer.h>

Collaboration diagram for onert::backend::cpu::ops::RangeLayer:

Public Member Functions

 RangeLayer ()
 
void configure (const IPortableTensor *start, const IPortableTensor *limit, const IPortableTensor *delta, IPortableTensor *output)
 
void run () override
 
- Public Member Functions inherited from onert::exec::IFunction
virtual ~IFunction ()=default
 
virtual void prepare ()
 

Detailed Description

Definition at line 26 of file RangeLayer.h.

Constructor & Destructor Documentation

◆ RangeLayer()

onert::backend::cpu::ops::RangeLayer::RangeLayer ( )

Definition at line 52 of file RangeLayer.cc.

52 : _start(nullptr), _limit(nullptr), _delta(nullptr), _output(nullptr)
53{
54 // DO NOTHING
55}

Member Function Documentation

◆ configure()

void onert::backend::cpu::ops::RangeLayer::configure ( const IPortableTensor start,
const IPortableTensor limit,
const IPortableTensor delta,
IPortableTensor output 
)

Definition at line 57 of file RangeLayer.cc.

59{
60 _start = start;
61 _limit = limit;
62 _delta = delta;
63 _output = output;
64}

◆ run()

void onert::backend::cpu::ops::RangeLayer::run ( )
overridevirtual

Implements onert::exec::IFunction.

Definition at line 66 of file RangeLayer.cc.

67{
68 switch (_output->data_type())
69 {
70 case OperandType::FLOAT32:
71 nnfw::cker::Range<float>(getBuffer<float>(_start), getBuffer<float>(_limit),
72 getBuffer<float>(_delta), getBuffer<float>(_output));
73 break;
74 case OperandType::INT32:
75 nnfw::cker::Range<int32_t>(getBuffer<int32_t>(_start), getBuffer<int32_t>(_limit),
76 getBuffer<int32_t>(_delta), getBuffer<int32_t>(_output));
77 break;
78 default:
79 throw std::runtime_error{"Range: unsupported data type"};
80 break;
81 }
82}
ir::DataType data_type() const override final

References onert::backend::IPortableTensor::data_type().


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