Decoder< IType > Class Template Reference

#include <BaseIterator.hpp>

Inheritance diagram for Decoder< IType >:

Collaboration diagram for Decoder< IType >:

Public Member Functions
	Decoder ()
virtual	~Decoder ()
virtual void	Reset (void *)=0
virtual IType	Get () const =0
virtual std::vector< float >	DecodeTensor (const TensorShape &tensorShape, bool isDepthwise=false)=0
Public Member Functions inherited from BaseIterator
	BaseIterator ()
virtual	~BaseIterator ()
virtual BaseIterator &	operator++ ()=0
virtual BaseIterator &	operator+= (const unsigned int increment)=0
virtual BaseIterator &	operator-= (const unsigned int increment)=0
virtual BaseIterator &	operator[] (const unsigned int index)=0

Detailed Description

template<typename IType>
class armnn::Decoder< IType >

Definition at line 35 of file BaseIterator.hpp.

Constructor & Destructor Documentation

Decoder()

template<typename IType>

Decoder ( )

inline

Definition at line 38 of file BaseIterator.hpp.

{}

~Decoder()

template<typename IType>

virtual ~Decoder ( )

inlinevirtual

Definition at line 40 of file BaseIterator.hpp.

{}

Member Function Documentation

DecodeTensor()

template<typename IType>

virtual std::vector< float > DecodeTensor ( const TensorShape & tensorShape, bool isDepthwise = false )

pure virtual

Implemented in BooleanDecoder, BooleanDecoderBool, Float16Decoder, Float32Decoder, Int32Decoder, Int32ToInt32tDecoder, Int64Decoder, QASymm8Decoder, QASymmS8Decoder, QSymm16Decoder, QSymm8PerAxisDecoder, QSymmS8Decoder, ScaledInt32Decoder, and ScaledInt32PerAxisDecoder.

Referenced by BatchMatMul::BatchMatMul(), armnn::Convolve(), armnn::Convolve3d(), armnn::FullyConnected(), armnn::Pooling2d(), armnn::Pooling3d(), armnn::ScatterNd(), armnn::Tile(), and armnn::TransposeConvolution2dImpl().

Get()

template<typename IType>

virtual IType Get ( ) const

pure virtual

Implemented in BooleanDecoder, BooleanDecoderBool, Float16Decoder, Float32Decoder, Int32Decoder, Int32ToInt32tDecoder, Int64Decoder, QASymm8Decoder, QASymmS8Decoder, QSymm16Decoder, QSymm8PerAxisDecoder, QSymmS8Decoder, ScaledInt32Decoder, and ScaledInt32PerAxisDecoder.

Referenced by armnn::Activation(), armnn::ArgMinMax(), armnn::BatchNormImpl(), armnn::BatchToSpaceNd(), ClipVector(), armnn::Concatenate(), CopyVector(), armnn::Dequantize(), armnn::DetectionPostProcess(), armnn::Gather(), armnn::InstanceNorm(), armnn::LogSoftmax(), MatrixBatchVectorMultiplyAccumulate(), MeanStddevNormalization(), armnn::MirrorPad(), armnn::Pad(), armnn::Reduce(), armnn::Resize(), armnn::ReverseV2(), armnn::ScatterNd(), armnn::ScatterNd(), armnn::Softmax(), armnn::SpaceToBatchNd(), armnn::SpaceToDepth(), armnn::Split(), Sub1Vector(), armnn::Tile(), armnn::TransposeConvolution2dImpl(), VectorBatchVectorAdd(), VectorBatchVectorAssign(), VectorBatchVectorCwiseProduct(), VectorBatchVectorCwiseProductAccumulate(), VectorVectorCwiseProduct(), and VectorVectorCwiseProductAccumulate().

Reset()

template<typename IType>

virtual void Reset ( void * )

pure virtual

Implemented in PerAxisIterator< const int32_t, Decoder< float > >, PerAxisIterator< const int8_t, Decoder< float > >, TypedIterator< const float, Decoder< float > >, TypedIterator< const Half, Decoder< float > >, TypedIterator< const int16_t, Decoder< float > >, TypedIterator< const int32_t, Decoder< float > >, TypedIterator< const int32_t, Decoder< int32_t > >, TypedIterator< const int64_t, Decoder< double_t > >, TypedIterator< const int8_t, Decoder< float > >, TypedIterator< const uint8_t, Decoder< bool > >, and TypedIterator< const uint8_t, Decoder< float > >.

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

• src/backends/reference/workloads/BaseIterator.hpp