ArmNN
 24.02
Public Member Functions | List of all members
Decoder< IType > Class Template Referenceabstract

#include <BaseIterator.hpp>

Inheritance diagram for Decoder< IType >:
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Collaboration diagram for Decoder< IType >:
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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 36 of file BaseIterator.hpp.

Constructor & Destructor Documentation

◆ Decoder()

Decoder ( )
inline

Definition at line 39 of file BaseIterator.hpp.

39 {}

◆ ~Decoder()

virtual ~Decoder ( )
inlinevirtual

Definition at line 41 of file BaseIterator.hpp.

41 {}

Member Function Documentation

◆ DecodeTensor()

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

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

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

◆ Get()

virtual IType Get ( ) const
pure virtual

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::Softmax(), armnn::SpaceToBatchNd(), armnn::SpaceToDepth(), armnn::Split(), Sub1Vector(), armnn::Tile(), armnn::TransposeConvolution2dImpl(), VectorBatchVectorAdd(), VectorBatchVectorAssign(), VectorBatchVectorCwiseProduct(), VectorBatchVectorCwiseProductAccumulate(), VectorVectorCwiseProduct(), and VectorVectorCwiseProductAccumulate().

◆ Reset()

virtual void Reset ( void *  )
pure virtual

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

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