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This layer represents a detection postprocess operator. + More...

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#include <DetectionPostProcessLayer.hpp>

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+Inheritance diagram for DetectionPostProcessLayer:

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+Public Member Functions
virtual std::unique_ptr< IWorkload >	CreateWorkload (const IWorkloadFactory &factory) const override
	Makes a workload for the DetectionPostProcess type. More...

DetectionPostProcessLayer *	Clone (Graph &graph) const override
	Creates a dynamically-allocated copy of this layer. More...

void	ValidateTensorShapesFromInputs () override
	Check if the input tensor shape(s) will lead to a valid configuration of DetectionPostProcessLayer. More...

void	Accept (ILayerVisitor &visitor) const override
	Apply a visitor to this layer. More...

Public Member Functions inherited from LayerWithParameters< DetectionPostProcessDescriptor >
const DetectionPostProcessDescriptor &	GetParameters () const

void	SerializeLayerParameters (ParameterStringifyFunction &fn) const override
	Helper to serialize the layer parameters to string (currently used in DotSerializer and company). More...

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
	Infer the shape of the output(s) based on the provided input shape(s) More...

virtual void	ReleaseConstantData ()

template<typename Op >
void	OperateOnConstantTensors (Op op)

const char *	GetName () const override
	Returns the name of the layer. More...

unsigned int	GetNumInputSlots () const override
	Returns the number of connectable input slots. More...

unsigned int	GetNumOutputSlots () const override
	Returns the number of connectable output slots. More...

const InputSlot &	GetInputSlot (unsigned int index) const override
	Get a const input slot handle by slot index. More...

InputSlot &	GetInputSlot (unsigned int index) override
	Get the input slot handle by slot index. More...

const OutputSlot &	GetOutputSlot (unsigned int index=0) const override
	Get the const output slot handle by slot index. More...

OutputSlot &	GetOutputSlot (unsigned int index=0) override
	Get the output slot handle by slot index. More...

void	SetGuid (LayerGuid guid)

LayerGuid	GetGuid () const final
	Returns the unique id of the layer. More...

void	AddRelatedLayerName (const std::string layerName)

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

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

void	BackendSelectionHint (Optional< BackendId > backend) final
	Provide a hint for the optimizer as to which backend to prefer for this layer. More...

Optional< BackendId >	GetBackendHint () const

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+Public Attributes
std::unique_ptr< ScopedCpuTensorHandle >	m_Anchors
	A unique pointer to store Anchor values. More...

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+Protected Member Functions
	DetectionPostProcessLayer (const DetectionPostProcessDescriptor &param, const char *name)
	Constructor to create a DetectionPostProcessLayer. More...

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

ConstantTensors	GetConstantTensorsByRef () override
	Retrieve the handles to the constant values stored by the layer. More...

Protected Member Functions inherited from LayerWithParameters< DetectionPostProcessDescriptor >
	LayerWithParameters (unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const DetectionPostProcessDescriptor &param, const char *name)

	~LayerWithParameters ()=default

WorkloadInfo	PrepInfoAndDesc (QueueDescriptor &descriptor) const
	Helper function to reduce duplication in *LayerCreateWorkload. 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

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

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+Additional Inherited Members
Public Types inherited from LayerWithParameters< DetectionPostProcessDescriptor >
using	DescriptorType = DetectionPostProcessDescriptor

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

Protected Attributes inherited from LayerWithParameters< DetectionPostProcessDescriptor >
DetectionPostProcessDescriptor	m_Param
	The parameters for the layer (not including tensor-valued weights etc.). More...

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

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Detailed Description

+

This layer represents a detection postprocess operator.

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Definition at line 16 of file DetectionPostProcessLayer.hpp.

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Constructor & Destructor Documentation

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◆ DetectionPostProcessLayer()

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DetectionPostProcessLayer	(	const DetectionPostProcessDescriptor &	param,
		const char *	name
	)

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+protected

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Constructor to create a DetectionPostProcessLayer.

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Parameters

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[in]	param	DetectionPostProcessDescriptor to configure the detection postprocess.
[in]	name	Optional name for the layer.

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Definition at line 18 of file DetectionPostProcessLayer.cpp.

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     : LayerWithParameters(2, 4, LayerType::DetectionPostProcess, param, name)
 {
 }

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◆ ~DetectionPostProcessLayer()

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~DetectionPostProcessLayer ( )

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+protecteddefault

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Default destructor.

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Member Function Documentation

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◆ Accept()

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void Accept ( ILayerVisitor & visitor ) const

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+overridevirtual

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Apply a visitor to this layer.

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Implements IConnectableLayer.

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Definition at line 75 of file DetectionPostProcessLayer.cpp.

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References Layer::GetName(), LayerWithParameters< DetectionPostProcessDescriptor >::GetParameters(), DetectionPostProcessLayer::m_Anchors, and ILayerVisitor::VisitDetectionPostProcessLayer().

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 {
     ConstTensor anchorTensor(m_Anchors->GetTensorInfo(), m_Anchors->GetConstTensor<void>());
     visitor.VisitDetectionPostProcessLayer(this, GetParameters(), anchorTensor, GetName());
 }

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◆ Clone()

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DetectionPostProcessLayer * Clone ( Graph & graph ) const

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+overridevirtual

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Creates a dynamically-allocated copy of this layer.

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Parameters

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

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Implements Layer.

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Definition at line 30 of file DetectionPostProcessLayer.cpp.

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References Layer::GetName(), DetectionPostProcessLayer::m_Anchors, and LayerWithParameters< DetectionPostProcessDescriptor >::m_Param.

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 {
     auto layer = CloneBase<DetectionPostProcessLayer>(graph, m_Param, GetName());
     layer->m_Anchors = m_Anchors ? std::make_unique<ScopedCpuTensorHandle>(*m_Anchors) : nullptr;
     return std::move(layer);
 }

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◆ CreateWorkload()

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

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+overridevirtual

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Makes a workload for the DetectionPostProcess type.

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Parameters

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

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

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Implements Layer.

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Definition at line 23 of file DetectionPostProcessLayer.cpp.

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References IWorkloadFactory::CreateDetectionPostProcess(), DetectionPostProcessLayer::m_Anchors, DetectionPostProcessQueueDescriptor::m_Anchors, and LayerWithParameters< DetectionPostProcessDescriptor >::PrepInfoAndDesc().

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 {
     DetectionPostProcessQueueDescriptor descriptor;
     descriptor.m_Anchors = m_Anchors.get();
     return factory.CreateDetectionPostProcess(descriptor, PrepInfoAndDesc(descriptor));
 }

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◆ GetConstantTensorsByRef()

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Layer::ConstantTensors GetConstantTensorsByRef ( )

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+overrideprotectedvirtual

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Retrieve the handles to the constant values stored by the layer.

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Returns: A vector of the constant tensors stored by this layer.

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Reimplemented from Layer.

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Definition at line 70 of file DetectionPostProcessLayer.cpp.

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References DetectionPostProcessLayer::m_Anchors.

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 {
     return { m_Anchors };
 }

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◆ ValidateTensorShapesFromInputs()

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void ValidateTensorShapesFromInputs ( )

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+overridevirtual

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

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Implements Layer.

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Definition at line 37 of file DetectionPostProcessLayer.cpp.

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References CHECK_LOCATION, Layer::GetNumOutputSlots(), Layer::GetOutputSlot(), TensorInfo::GetShape(), OutputSlot::GetTensorInfo(), DetectionPostProcessLayer::m_Anchors, DetectionPostProcessDescriptor::m_MaxClassesPerDetection, DetectionPostProcessDescriptor::m_MaxDetections, LayerWithParameters< DetectionPostProcessDescriptor >::m_Param, and Layer::VerifyLayerConnections().

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 {
     VerifyLayerConnections(2, CHECK_LOCATION());
 
     // on this level constant data should not be released.
     BOOST_ASSERT_MSG(m_Anchors != nullptr, "DetectionPostProcessLayer: Anchors data should not be null.");
 
     BOOST_ASSERT_MSG(GetNumOutputSlots() == 4, "DetectionPostProcessLayer: The layer should return 4 outputs.");
 
     unsigned int detectedBoxes = m_Param.m_MaxDetections * m_Param.m_MaxClassesPerDetection;
 
     const TensorShape& inferredDetectionBoxes = TensorShape({ 1, detectedBoxes, 4 });
     const TensorShape& inferredDetectionScores = TensorShape({ 1, detectedBoxes });
     const TensorShape& inferredNumberDetections = TensorShape({ 1 });
 
     ConditionalThrowIfNotEqual<LayerValidationException>(
         "DetectionPostProcessLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
         GetOutputSlot(0).GetTensorInfo().GetShape(),
         inferredDetectionBoxes);
     ConditionalThrowIfNotEqual<LayerValidationException>(
         "DetectionPostProcessLayer: TensorShape set on OutputSlot[1] does not match the inferred shape.",
         GetOutputSlot(1).GetTensorInfo().GetShape(),
         inferredDetectionScores);
     ConditionalThrowIfNotEqual<LayerValidationException>(
         "DetectionPostProcessLayer: TensorShape set on OutputSlot[2] does not match the inferred shape.",
         GetOutputSlot(2).GetTensorInfo().GetShape(),
         inferredDetectionScores);
     ConditionalThrowIfNotEqual<LayerValidationException>(
         "DetectionPostProcessLayer: TensorShape set on OutputSlot[3] does not match the inferred shape.",
         GetOutputSlot(3).GetTensorInfo().GetShape(),
         inferredNumberDetections);
 }

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Member Data Documentation

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◆ m_Anchors

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std::unique_ptr<ScopedCpuTensorHandle> m_Anchors

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A unique pointer to store Anchor values.

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Definition at line 20 of file DetectionPostProcessLayer.hpp.

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Referenced by DetectionPostProcessLayer::Accept(), Network::AddDetectionPostProcessLayer(), BOOST_AUTO_TEST_CASE(), DetectionPostProcessLayer::Clone(), DetectionPostProcessLayer::CreateWorkload(), DetectionPostProcessLayer::GetConstantTensorsByRef(), and DetectionPostProcessLayer::ValidateTensorShapesFromInputs().

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

src/armnn/layers/DetectionPostProcessLayer.hpp
src/armnn/layers/DetectionPostProcessLayer.cpp

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+Public Member Functions

+Public Attributes

+Protected Member Functions

+Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ DetectionPostProcessLayer()

◆ ~DetectionPostProcessLayer()

Member Function Documentation

◆ Accept()

◆ Clone()

◆ CreateWorkload()

◆ GetConstantTensorsByRef()

◆ ValidateTensorShapesFromInputs()

Member Data Documentation

◆ m_Anchors