A layer user-provided data can be bound to (e.g. inputs, outputs). More...

#include <OutputLayer.hpp>

Inheritance diagram for OutputLayer:

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

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

OutputLayer *	Clone (Graph &graph) const override

void	ValidateTensorShapesFromInputs () override

void	Accept (ILayerVisitor &visitor) const override

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

LayerBindingId	GetBindingId () const

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)

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
	OutputLayer (LayerBindingId id, const char *name)

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

Protected Member Functions inherited from BindableLayer
	~BindableLayer ()=default

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

A layer user-provided data can be bound to (e.g. inputs, outputs).

Definition at line 13 of file OutputLayer.hpp.

Constructor & Destructor Documentation

◆ OutputLayer()

OutputLayer	(	LayerBindingId	id,
		const char *	name
	)

protected

Constructor to create an OutputLayer.

Parameters

id	The layer binding id number.
name	Optional name for the layer.

Definition at line 17 of file OutputLayer.cpp.

References armnn::Output.

Referenced by OutputLayer::CreateTensorHandles().

     : BindableLayer(1, 0, LayerType::Output, name, id)
 {
 }

◆ ~OutputLayer()

~OutputLayer ( )

protecteddefault

Default destructor.

Referenced by OutputLayer::CreateTensorHandles().

Member Function Documentation

◆ Accept()

void Accept ( ILayerVisitor & visitor ) const

overridevirtual

Implements IConnectableLayer.

Definition at line 40 of file OutputLayer.cpp.

References BindableLayer::GetBindingId(), Layer::GetName(), and ILayerVisitor::VisitOutputLayer().

Referenced by OutputLayer::CreateTensorHandles().

 {
     visitor.VisitOutputLayer(this, GetBindingId(), GetName());
 }

◆ Clone()

OutputLayer * 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 OutputLayer.cpp.

References BindableLayer::GetBindingId(), and Layer::GetName().

Referenced by OutputLayer::CreateTensorHandles().

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

◆ CreateTensorHandles()

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

inlineoverridevirtual

Set the outputs to be appropriate sub tensors of the input if sub tensors are supported otherwise creates tensor handlers by default. Ignores parameters for Output type.

Parameters

[in]	registry	Contains all the registered tensor handle factories available for use.
[in]	factory	The workload factory which will create the workload.
[in]	IsMemoryManaged	Determine whether or not to assign a memory manager during creation

Reimplemented from Layer.

Definition at line 27 of file OutputLayer.hpp.

References OutputLayer::Accept(), OutputLayer::Clone(), OutputLayer::OutputLayer(), OutputLayer::ValidateTensorShapesFromInputs(), and OutputLayer::~OutputLayer().

     {
         boost::ignore_unused(registry, factory, IsMemoryManaged);
     }

◆ CreateWorkload()

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

overridevirtual

Returns nullptr for Output 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 OutputLayer.cpp.

 {
     boost::ignore_unused(factory);
     return nullptr;
 }

◆ ValidateTensorShapesFromInputs()

void ValidateTensorShapesFromInputs ( )

overridevirtual

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

Implements Layer.

Definition at line 33 of file OutputLayer.cpp.

References InputSlot::GetConnection(), and Layer::GetInputSlot().

Referenced by OutputLayer::CreateTensorHandles().

 {
     // Just validates that the input is connected.
     ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection() != nullptr,
                                                "OutputLayer: Input slot must be connected.");
 }

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

src/armnn/layers/OutputLayer.hpp
src/armnn/layers/OutputLayer.cpp

Public Member Functions

Protected Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ OutputLayer()

◆ ~OutputLayer()

Member Function Documentation

◆ Accept()

◆ Clone()

◆ CreateTensorHandles()

◆ CreateWorkload()

◆ ValidateTensorShapesFromInputs()