#include <LayerWithParameters.hpp>

Inheritance diagram for LayerWithParameters< Parameters >:

Collaboration diagram for LayerWithParameters< Parameters >:

Public Types
using	DescriptorType = Parameters

Public Types inherited from IConnectableLayer
using	ConstantTensors = std::vector< std::reference_wrapper< std::shared_ptr< ConstTensorHandle > >>

using	ImmutableConstantTensors = std::vector< std::reference_wrapper< const std::shared_ptr< ConstTensorHandle > >>

Public Member Functions
const Parameters &	GetParameters () const override
	If the layer has a descriptor return it. More...

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)

ShapeInferenceMethod	GetShapeInferenceMethod () const

bool	GetAllowExpandedDims () const

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 override
	Returns the armnn::LayerType of this layer. More...

DataType	GetDataType () const

const BackendId &	GetBackendId () const

void	SetBackendId (const BackendId &id) override
	Set the backend of the IConnectableLayer. More...

virtual std::unique_ptr< IWorkload >	CreateWorkload (const IWorkloadFactory &factory) const =0

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

virtual Layer *	Clone (Graph &graph) const =0
	Creates a dynamically-allocated copy of this layer. More...

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

virtual void	ValidateTensorShapesFromInputs ()=0

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

void	SetShapeInferenceMethod (ShapeInferenceMethod shapeInferenceMethod)

void	SetAllowExpandedDims (bool allowExpandedDims)

template<typename T >
std::shared_ptr< T >	GetAdditionalInformation () const

void	SetAdditionalInfoForObject (const AdditionalInfoObjectPtr &additionalInfo)

Protected Member Functions
	LayerWithParameters (unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const Parameters &param, const char *name)

	~LayerWithParameters ()=default

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

void	ExecuteStrategy (IStrategy &strategy) const override
	Apply a visitor to this layer. More...

Layer::ImmutableConstantTensors	GetConnectedConstantAsInputTensors () const

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

void	ValidateAndCopyShape (const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)

void	VerifyShapeInferenceType (const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)

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

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

virtual ConstantTensors	GetConstantTensorsByRef () override final

virtual ImmutableConstantTensors	GetConstantTensorsByRef () const override

void	SetAdditionalInfo (QueueDescriptor &descriptor) const

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

Protected Attributes
Parameters	m_Param
	The parameters for the layer (not including tensor-valued weights etc.). More...

Protected Attributes inherited from Layer
AdditionalInfoObjectPtr	m_AdditionalInfoObject

std::vector< OutputHandler >	m_OutputHandlers

ShapeInferenceMethod	m_ShapeInferenceMethod

Detailed Description

template<typename Parameters>
class armnn::LayerWithParameters< Parameters >

Definition at line 14 of file LayerWithParameters.hpp.

Member Typedef Documentation

◆ DescriptorType

using DescriptorType = Parameters

Definition at line 17 of file LayerWithParameters.hpp.

Constructor & Destructor Documentation

◆ LayerWithParameters()

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

inlineprotected

Definition at line 30 of file LayerWithParameters.hpp.

         : Layer(numInputSlots, numOutputSlots, type, name)
         , m_Param(param)
     {
     }

◆ ~LayerWithParameters()

~LayerWithParameters ( )

protecteddefault

Member Function Documentation

◆ ExecuteStrategy()

void ExecuteStrategy ( IStrategy & strategy ) const

inlineoverrideprotectedvirtual

Apply a visitor to this layer.

Reimplemented from Layer.

Definition at line 54 of file LayerWithParameters.hpp.

     {
         strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
     }

◆ GetConnectedConstantAsInputTensors()

Layer::ImmutableConstantTensors GetConnectedConstantAsInputTensors ( ) const

inlineprotected

Definition at line 59 of file LayerWithParameters.hpp.

     {
         Layer::ImmutableConstantTensors tensors;
         for (unsigned int i = 0; i < GetNumInputSlots(); ++i)
         {
             if (GetInputSlot(i).GetConnection() && GetInputSlot(i).GetTensorInfo().IsConstant())
             {
                 auto &inputLayer = GetInputSlot(i).GetConnectedOutputSlot()->GetOwningLayer();
                 if (inputLayer.GetType() == armnn::LayerType::Constant)
                 {
                     auto &constantLayer = static_cast<ConstantLayer&>(inputLayer);
  
                     tensors.push_back(constantLayer.m_LayerOutput);
                 }
             }
         }
         return tensors;
     }

◆ GetParameters()

const Parameters& GetParameters ( ) const

inlineoverridevirtual

If the layer has a descriptor return it.

The base descriptor can then be cast to the correct descriptor class. If the layer has no associated descriptor a struct of type NullDescriptor will be returned. Note: NullDescriptors can be detected because they return true when the BaseDescriptor IsNull function is invoked.

Reimplemented from Layer.

Definition at line 19 of file LayerWithParameters.hpp.

19 { return m_Param; }

Referenced by LayerWithParameters< StridedSliceDescriptor >::ExecuteStrategy(), armnn::optimizations::pad_fold::FoldPadIntoLayer2dImpl(), RefBackend::OptimizeSubgraphView(), NeonBackend::OptimizeSubgraphView(), ClBackend::OptimizeSubgraphView(), and armnn::RemoveReshapeLayer().

◆ PrepInfoAndDesc()

WorkloadInfo PrepInfoAndDesc ( QueueDescriptor & descriptor ) const

inlineprotected

Helper function to reduce duplication in *Layer::CreateWorkload.

Definition at line 44 of file LayerWithParameters.hpp.

     {
         descriptor.m_Parameters = m_Param;
         descriptor.m_AllowExpandedDims = GetAllowExpandedDims();
         return Layer::PrepInfoAndDesc(descriptor);
     }

◆ SerializeLayerParameters()

void SerializeLayerParameters ( ParameterStringifyFunction & fn ) const

inlineoverridevirtual

Helper to serialize the layer parameters to string (currently used in DotSerializer and company).

Reimplemented from Layer.

Definition at line 23 of file LayerWithParameters.hpp.

     {
         StringifyLayerParameters<Parameters>::Serialize(fn, m_Param);
         Layer::SerializeLayerParameters(fn);
     }

Referenced by Convolution2dLayer::SerializeLayerParameters(), DepthwiseConvolution2dLayer::SerializeLayerParameters(), and Convolution3dLayer::SerializeLayerParameters().

Member Data Documentation

◆ m_Param

Parameters m_Param

protected

The parameters for the layer (not including tensor-valued weights etc.).

Definition at line 52 of file LayerWithParameters.hpp.

Referenced by LayerWithParameters< StridedSliceDescriptor >::GetParameters(), LayerWithParameters< StridedSliceDescriptor >::PrepInfoAndDesc(), and LayerWithParameters< StridedSliceDescriptor >::SerializeLayerParameters().

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

src/armnn/layers/LayerWithParameters.hpp

Public Types

Public Member Functions

Protected Member Functions

Protected Attributes

Detailed Description

template<typename Parameters> class armnn::LayerWithParameters< Parameters >

Member Typedef Documentation

◆ DescriptorType

Constructor & Destructor Documentation

◆ LayerWithParameters()

◆ ~LayerWithParameters()

Member Function Documentation

◆ ExecuteStrategy()

◆ GetConnectedConstantAsInputTensors()

◆ GetParameters()

◆ PrepInfoAndDesc()

◆ SerializeLayerParameters()

Member Data Documentation

◆ m_Param

template<typename Parameters>
class armnn::LayerWithParameters< Parameters >