This layer represents a SpaceToBatchNd operation. More...

#include <SpaceToBatchNdLayer.hpp>

Inheritance diagram for SpaceToBatchNdLayer:

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

SpaceToBatchNdLayer *	Clone (Graph &graph) const override

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

void	ValidateTensorShapesFromInputs () override

void	Accept (ILayerVisitor &visitor) const override

Public Member Functions inherited from LayerWithParameters< SpaceToBatchNdDescriptor >
const SpaceToBatchNdDescriptor &	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
	SpaceToBatchNdLayer (const SpaceToBatchNdDescriptor param, const char *name)

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

Protected Member Functions inherited from LayerWithParameters< SpaceToBatchNdDescriptor >
	LayerWithParameters (unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const SpaceToBatchNdDescriptor &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< SpaceToBatchNdDescriptor >
using	DescriptorType = SpaceToBatchNdDescriptor

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

Protected Attributes inherited from LayerWithParameters< SpaceToBatchNdDescriptor >
SpaceToBatchNdDescriptor	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 SpaceToBatchNd operation.

Definition at line 14 of file SpaceToBatchNdLayer.hpp.

Constructor & Destructor Documentation

◆ SpaceToBatchNdLayer()

SpaceToBatchNdLayer	(	const SpaceToBatchNdDescriptor	param,
		const char *	name
	)

protected

Constructor to create a SpaceToBatchNdLayer.

Parameters

[in]	param	SpaceToBatchNdDescriptor to configure the SpaceToBatchNdLayer operation.
[in]	name	Optional name for the layer.

Definition at line 23 of file SpaceToBatchNdLayer.cpp.

References armnn::SpaceToBatchNd().

24 : LayerWithParameters(1, 1, LayerType::SpaceToBatchNd, param, name)

25 {}

armnn::LayerType::SpaceToBatchNd

armnn::LayerWithParameters< SpaceToBatchNdDescriptor >::LayerWithParameters

LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const SpaceToBatchNdDescriptor &param, const char *name)

Definition: LayerWithParameters.hpp:29

◆ ~SpaceToBatchNdLayer()

~SpaceToBatchNdLayer ( )

protecteddefault

Default destructor.

Member Function Documentation

◆ Accept()

void Accept ( ILayerVisitor & visitor ) const

overridevirtual

Implements IConnectableLayer.

Definition at line 84 of file SpaceToBatchNdLayer.cpp.

References Layer::GetName(), LayerWithParameters< SpaceToBatchNdDescriptor >::GetParameters(), and ILayerVisitor::VisitSpaceToBatchNdLayer().

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

◆ Clone()

SpaceToBatchNdLayer * 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 36 of file SpaceToBatchNdLayer.cpp.

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

 {
     boost::ignore_unused(graph);
     return CloneBase<SpaceToBatchNdLayer>(graph, m_Param, GetName());
 }

◆ CreateWorkload()

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

overridevirtual

Makes a workload for the SpaceToBatchNd 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 27 of file SpaceToBatchNdLayer.cpp.

References IWorkloadFactory::CreateSpaceToBatchNd(), SpaceToBatchNdDescriptor::m_BlockShape, SpaceToBatchNdDescriptor::m_PadList, LayerWithParameters< SpaceToBatchNdDescriptor >::m_Param, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, and LayerWithParameters< SpaceToBatchNdDescriptor >::PrepInfoAndDesc().

 {
    SpaceToBatchNdQueueDescriptor descriptor;
     descriptor.m_Parameters.m_BlockShape = m_Param.m_BlockShape;
     descriptor.m_Parameters.m_PadList = m_Param.m_PadList;
 
     return factory.CreateSpaceToBatchNd(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 42 of file SpaceToBatchNdLayer.cpp.

References DataLayoutIndexed::GetHeightIndex(), DataLayoutIndexed::GetWidthIndex(), SpaceToBatchNdDescriptor::m_BlockShape, SpaceToBatchNdDescriptor::m_DataLayout, SpaceToBatchNdDescriptor::m_PadList, and LayerWithParameters< SpaceToBatchNdDescriptor >::m_Param.

Referenced by SpaceToBatchNdLayer::ValidateTensorShapesFromInputs().

 {
     BOOST_ASSERT(inputShapes.size() == 1);
 
     TensorShape inputShape = inputShapes[0];
     TensorShape outputShape(inputShape);
 
     outputShape[0] = inputShape[0] * std::accumulate(m_Param.m_BlockShape.begin(),
                                                      m_Param.m_BlockShape.end(),
                                                      1U,
                                                      std::multiplies<>());
 
     DataLayoutIndexed dimensionIndices = m_Param.m_DataLayout;
     unsigned int heightIndex = dimensionIndices.GetHeightIndex();
     unsigned int widthIndex = dimensionIndices.GetWidthIndex();
 
     std::pair<unsigned int, unsigned int> heightPad = m_Param.m_PadList[0];
     std::pair<unsigned int, unsigned int> widthPad = m_Param.m_PadList[1];
 
     outputShape[heightIndex] =
         (inputShape[heightIndex] + heightPad.first + heightPad.second) / m_Param.m_BlockShape[0];
     outputShape[widthIndex] =
         (inputShape[widthIndex] + widthPad.first + widthPad.second) / m_Param.m_BlockShape[1];
 
     return std::vector<TensorShape>({ outputShape });
 }

◆ ValidateTensorShapesFromInputs()

void ValidateTensorShapesFromInputs ( )

overridevirtual

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

Implements Layer.

Definition at line 69 of file SpaceToBatchNdLayer.cpp.

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

 {
     VerifyLayerConnections(1, CHECK_LOCATION());
 
     std::vector<TensorShape> inferredShapes = InferOutputShapes({
         GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
 
     BOOST_ASSERT(inferredShapes.size() == 1);
 
     ConditionalThrowIfNotEqual<LayerValidationException>(
         "SpaceToBatchNdLayer: 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/SpaceToBatchNdLayer.hpp
src/armnn/layers/SpaceToBatchNdLayer.cpp

Public Member Functions

Protected Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ SpaceToBatchNdLayer()

◆ ~SpaceToBatchNdLayer()

Member Function Documentation

◆ Accept()

◆ Clone()

◆ CreateWorkload()

◆ InferOutputShapes()

◆ ValidateTensorShapesFromInputs()