This layer converts data type Float 16 to Float 32. More...

#include <ConvertFp16ToFp32Layer.hpp>

Inheritance diagram for ConvertFp16ToFp32Layer:

Public Member Functions
virtual std::unique_ptr< IWorkload >	CreateWorkload (const IWorkloadFactory &factory) const override

ConvertFp16ToFp32Layer *	Clone (Graph &graph) const override

void	ValidateTensorShapesFromInputs () override

void	Accept (ILayerVisitor &visitor) const override

Public Member Functions inherited from Layer
	Layer (unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)

	Layer (unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, DataLayout layout, const char *name)

const std::string &	GetNameStr () const

const OutputHandler &	GetOutputHandler (unsigned int i=0) const

OutputHandler &	GetOutputHandler (unsigned int i=0)

const std::vector< InputSlot > &	GetInputSlots () const

const std::vector< OutputSlot > &	GetOutputSlots () const

std::vector< InputSlot >::iterator	BeginInputSlots ()

std::vector< InputSlot >::iterator	EndInputSlots ()

std::vector< OutputSlot >::iterator	BeginOutputSlots ()

std::vector< OutputSlot >::iterator	EndOutputSlots ()

bool	IsOutputUnconnected ()

void	ResetPriority () const

LayerPriority	GetPriority () const

LayerType	GetType () const

DataType	GetDataType () const

const BackendId &	GetBackendId () const

void	SetBackendId (const BackendId &id)

virtual void	CreateTensorHandles (const TensorHandleFactoryRegistry &registry, const IWorkloadFactory &factory, const bool IsMemoryManaged=true)

void	VerifyLayerConnections (unsigned int expectedConnections, const CheckLocation &location) const

std::vector< TensorShape >	InferOutputShapes (const std::vector< TensorShape > &inputShapes) const override

virtual void	SerializeLayerParameters (ParameterStringifyFunction &fn) const

virtual void	ReleaseConstantData ()

template<typename Op >
void	OperateOnConstantTensors (Op op)

const char *	GetName () const override

unsigned int	GetNumInputSlots () const override

unsigned int	GetNumOutputSlots () const override

const InputSlot &	GetInputSlot (unsigned int index) const override

InputSlot &	GetInputSlot (unsigned int index) override

const OutputSlot &	GetOutputSlot (unsigned int index=0) const override

OutputSlot &	GetOutputSlot (unsigned int index=0) override

void	SetGuid (LayerGuid guid)

LayerGuid	GetGuid () const final

void	AddRelatedLayerName (const std::string layerName)

const std::list< std::string > &	GetRelatedLayerNames ()

virtual void	Reparent (Graph &dest, std::list< Layer *>::const_iterator iterator)=0

Protected Member Functions
	ConvertFp16ToFp32Layer (const char *name)

	~ConvertFp16ToFp32Layer ()=default
	Default destructor. More...

Protected Member Functions inherited from Layer
virtual	~Layer ()=default

template<typename QueueDescriptor >
void	CollectQueueDescriptorInputs (QueueDescriptor &descriptor, WorkloadInfo &info) const

template<typename QueueDescriptor >
void	CollectQueueDescriptorOutputs (QueueDescriptor &descriptor, WorkloadInfo &info) const

template<typename QueueDescriptor >
WorkloadInfo	PrepInfoAndDesc (QueueDescriptor &descriptor) const
	Helper function to reduce duplication in *LayerCreateWorkload. More...

template<typename LayerType , typename ... Params>
LayerType *	CloneBase (Graph &graph, Params &&... params) const

virtual ConstantTensors	GetConstantTensorsByRef ()

Protected Member Functions inherited from IConnectableLayer
	~IConnectableLayer ()
	Objects are not deletable via the handle. More...

Additional Inherited Members
Protected Types inherited from Layer
using	ConstantTensors = std::vector< std::reference_wrapper< std::unique_ptr< ScopedCpuTensorHandle > >>

Protected Attributes inherited from Layer
std::vector< OutputHandler >	m_OutputHandlers

Detailed Description

This layer converts data type Float 16 to Float 32.

Definition at line 14 of file ConvertFp16ToFp32Layer.hpp.

Constructor & Destructor Documentation

◆ ConvertFp16ToFp32Layer()

ConvertFp16ToFp32Layer ( const char * name )

protected

Constructor to create a ConvertFp16ToFp32Layer.

Parameters

[in] name Optional name for the layer.

Definition at line 17 of file ConvertFp16ToFp32Layer.cpp.

References armnn::ConvertFp16ToFp32.

     : Layer(1, 1, LayerType::ConvertFp16ToFp32, name)
 {
 }

◆ ~ConvertFp16ToFp32Layer()

~ConvertFp16ToFp32Layer ( )

protecteddefault

Default destructor.

Member Function Documentation

◆ Accept()

void Accept ( ILayerVisitor & visitor ) const

overridevirtual

Implements IConnectableLayer.

Definition at line 47 of file ConvertFp16ToFp32Layer.cpp.

 {
     // these conversion layers are only inserted by the
     // optimizer and so will never be in an input graph.
     boost::ignore_unused(visitor);
     throw armnn::Exception("ConvertFp16ToFp32Layer should never appear in an input graph");
 }

◆ Clone()

ConvertFp16ToFp32Layer * Clone ( Graph & graph ) const

overridevirtual

Creates a dynamically-allocated copy of this layer.

Parameters

[in] graph The graph into which this layer is being cloned.

Implements Layer.

Definition at line 28 of file ConvertFp16ToFp32Layer.cpp.

References Layer::GetName().

 {
     return CloneBase<ConvertFp16ToFp32Layer>(graph, GetName());
 }

◆ CreateWorkload()

std::unique_ptr< IWorkload > CreateWorkload ( const IWorkloadFactory & factory ) const

overridevirtual

Makes a workload for the ConvertFp16ToFp32 type.

Parameters

[in]	graph	The graph where this layer can be found.
[in]	factory	The workload factory which will create the workload.

Returns: A pointer to the created workload, or nullptr if not created.

Implements Layer.

Definition at line 22 of file ConvertFp16ToFp32Layer.cpp.

References IWorkloadFactory::CreateConvertFp16ToFp32(), and Layer::PrepInfoAndDesc().

 {
     ConvertFp16ToFp32QueueDescriptor descriptor;
     return factory.CreateConvertFp16ToFp32(descriptor, PrepInfoAndDesc(descriptor));
 }

◆ ValidateTensorShapesFromInputs()

void ValidateTensorShapesFromInputs ( )

overridevirtual

Check if the input tensor shape(s) will lead to a valid configuration of ConvertFp16ToFp32Layer.

Implements Layer.

Definition at line 33 of file ConvertFp16ToFp32Layer.cpp.

References CHECK_LOCATION, InputSlot::GetConnection(), Layer::GetInputSlot(), Layer::GetOutputSlot(), TensorInfo::GetShape(), IOutputSlot::GetTensorInfo(), OutputSlot::GetTensorInfo(), Layer::InferOutputShapes(), and Layer::VerifyLayerConnections().

 {
     VerifyLayerConnections(1, CHECK_LOCATION());
 
     auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
 
     BOOST_ASSERT(inferredShapes.size() == 1);
 
     ConditionalThrowIfNotEqual<LayerValidationException>(
         "ConvertFp16ToFp32Layer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
         GetOutputSlot(0).GetTensorInfo().GetShape(),
         inferredShapes[0]);
 }

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

src/armnn/layers/ConvertFp16ToFp32Layer.hpp
src/armnn/layers/ConvertFp16ToFp32Layer.cpp

Public Member Functions

Protected Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ ConvertFp16ToFp32Layer()

◆ ~ConvertFp16ToFp32Layer()

Member Function Documentation

◆ Accept()

◆ Clone()

◆ CreateWorkload()

◆ ValidateTensorShapesFromInputs()