#include <BaseIterator.hpp>

Inheritance diagram for Float32Decoder:

Collaboration diagram for Float32Decoder:

Public Member Functions
	Float32Decoder (const float *data)
	Float32Decoder ()
float	Get () const override
std::vector< float >	DecodeTensor (const TensorShape &tensorShape, const bool) override
Public Member Functions inherited from TypedIterator< const float, Decoder< float > >
	TypedIterator (const float *data=nullptr)
void	Reset (void *data) override
TypedIterator &	operator++ () override
TypedIterator &	operator+= (const unsigned int increment) override
TypedIterator &	operator-= (const unsigned int increment) override
TypedIterator &	operator[] (const unsigned int index) override
Public Member Functions inherited from Decoder< float >
	Decoder ()
virtual	~Decoder ()
Public Member Functions inherited from BaseIterator
	BaseIterator ()
virtual	~BaseIterator ()

Additional Inherited Members
Protected Attributes inherited from TypedIterator< const float, Decoder< float > >
const float *	m_Iterator
const float *	m_Start

Detailed Description

Definition at line 282 of file BaseIterator.hpp.

Constructor & Destructor Documentation

◆ Float32Decoder() [1/2]

Float32Decoder ( const float * data )

inline

Definition at line 285 of file BaseIterator.hpp.

286 : TypedIterator(data) {}

References TypedIterator< const float, Decoder< float > >::TypedIterator().

Referenced by Float32Decoder().

◆ Float32Decoder() [2/2]

Float32Decoder ( )

inline

Definition at line 288 of file BaseIterator.hpp.

289 : Float32Decoder(nullptr) {}

References Float32Decoder().

Member Function Documentation

◆ DecodeTensor()

std::vector< float > DecodeTensor	(	const TensorShape &	tensorShape,
		const bool	)

inlineoverridevirtual

Implements Decoder< float >.

Definition at line 295 of file BaseIterator.hpp.

    {
        const unsigned int size = tensorShape.GetNumElements();
        std::vector<float> decodedTensor;
 
        decodedTensor.reserve(size);
        decodedTensor.assign(m_Start, m_Start + size);
 
        return decodedTensor;
    }