This layer represents a stack operation. More...

#include <StackLayer.hpp>

Inheritance diagram for StackLayer:

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

StackLayer *	Clone (Graph &graph) const override

void	ValidateTensorShapesFromInputs () override

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

void	Accept (ILayerVisitor &visitor) const override

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

void	SerializeLayerParameters (ParameterStringifyFunction &fn) 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

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
	StackLayer (const StackDescriptor &param, const char *name)

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

Protected Member Functions inherited from LayerWithParameters< StackDescriptor >
	LayerWithParameters (unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const StackDescriptor &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

virtual ConstantTensors	GetConstantTensorsByRef ()

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

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

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

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

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

Detailed Description

This layer represents a stack operation.

Definition at line 13 of file StackLayer.hpp.

Constructor & Destructor Documentation

◆ StackLayer()

StackLayer	(	const StackDescriptor &	param,
		const char *	name
	)

protected

Constructor to create a StackLayer.

Parameters

[in]	param	StackDescriptor to configure the stack operation.
[in]	name	Optional name for the layer.

Definition at line 17 of file StackLayer.cpp.

     : LayerWithParameters(param.m_NumInputs, 1, LayerType::Stack, param, name)
 {
 }

◆ ~StackLayer()

~StackLayer ( )

protecteddefault

Default destructor.

Member Function Documentation

◆ Accept()

void Accept ( ILayerVisitor & visitor ) const

overridevirtual

Implements IConnectableLayer.

Definition at line 95 of file StackLayer.cpp.

References Layer::GetName(), LayerWithParameters< StackDescriptor >::GetParameters(), and ILayerVisitor::VisitStackLayer().

 {
     visitor.VisitStackLayer(this, GetParameters(), GetName());
 }

◆ Clone()

StackLayer * 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 StackLayer.cpp.

References Layer::GetName(), and LayerWithParameters< StackDescriptor >::m_Param.

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

◆ CreateWorkload()

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

overridevirtual

Makes a workload for the Stack 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 StackLayer.cpp.

References IWorkloadFactory::CreateStack(), and LayerWithParameters< StackDescriptor >::PrepInfoAndDesc().

 {
     StackQueueDescriptor descriptor;
     return factory.CreateStack(descriptor, PrepInfoAndDesc(descriptor));
 }

◆ InferOutputShapes()

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

overridevirtual

By default returns inputShapes if the number of inputs are equal to number of outputs, otherwise infers the output shapes from given input shapes and layer properties.

Parameters

[in] inputShapes The input shapes layer has.

Returns: A vector to the inferred output shape.

Reimplemented from Layer.

Definition at line 33 of file StackLayer.cpp.

References TensorShape::GetNumDimensions(), StackDescriptor::m_Axis, StackDescriptor::m_InputShape, StackDescriptor::m_NumInputs, and LayerWithParameters< StackDescriptor >::m_Param.

Referenced by StackInferOutputShapeImpl(), and StackLayer::ValidateTensorShapesFromInputs().

 {
     boost::ignore_unused(inputShapes);
 
     const TensorShape& inputShape = m_Param.m_InputShape;
     const unsigned int inputNumDimensions = inputShape.GetNumDimensions();
     const unsigned int axis = m_Param.m_Axis;
 
     BOOST_ASSERT(axis <= inputNumDimensions);
 
     std::vector<unsigned int> dimensionSizes(inputNumDimensions + 1, 0);
     for (unsigned int i = 0; i < axis; ++i)
     {
         dimensionSizes[i] = inputShape[i];
     }
 
     dimensionSizes[axis] = m_Param.m_NumInputs;
 
     for (unsigned int i = axis + 1; i < inputNumDimensions + 1; ++i)
     {
         dimensionSizes[i] = inputShape[i-1];
     }
 
     TensorShape targetShape = TensorShape(inputNumDimensions + 1, dimensionSizes.data());
 
     return std::vector<TensorShape>({ targetShape });
 }

◆ ValidateTensorShapesFromInputs()

void ValidateTensorShapesFromInputs ( )

overridevirtual

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

Implements Layer.

Definition at line 61 of file StackLayer.cpp.

References CHECK_LOCATION, InputSlot::GetConnection(), Layer::GetInputSlot(), Layer::GetNumInputSlots(), Layer::GetOutputSlot(), TensorInfo::GetShape(), IOutputSlot::GetTensorInfo(), OutputSlot::GetTensorInfo(), StackLayer::InferOutputShapes(), StackDescriptor::m_InputShape, StackDescriptor::m_NumInputs, LayerWithParameters< StackDescriptor >::m_Param, and Layer::VerifyLayerConnections().

 {
     // Validates Stack layer.
     ConditionalThrowIfNotEqual<LayerValidationException>(
         "StackLayer: Num Input Slots must match Num Inputs.",
         m_Param.m_NumInputs,
         GetNumInputSlots());
 
     VerifyLayerConnections(m_Param.m_NumInputs, CHECK_LOCATION());
 
     // Constructs and validates input shapes
     std::vector<TensorShape> inputShapes;
     for (unsigned int i = 0; i < GetNumInputSlots(); ++i)
     {
         TensorShape inputShape = GetInputSlot(i).GetConnection()->GetTensorInfo().GetShape();
         if (inputShape != m_Param.m_InputShape)
         {
             throw LayerValidationException("StackLayer: TensorShape set on InputSlot[" +
                                            std::to_string(i) +
                                            "] does not match defined input shape");
         }
         inputShapes.push_back(inputShape);
     }
 
     auto inferredShapes = InferOutputShapes(inputShapes);
 
     BOOST_ASSERT(inferredShapes.size() == 1);
 
     ConditionalThrowIfNotEqual<LayerValidationException>(
         "StackLayer: 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/StackLayer.hpp
src/armnn/layers/StackLayer.cpp

Public Member Functions

Protected Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ StackLayer()

◆ ~StackLayer()

Member Function Documentation

◆ Accept()

◆ Clone()

◆ CreateWorkload()

◆ InferOutputShapes()

◆ ValidateTensorShapesFromInputs()