#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.
void	SerializeLayerParameters (ParameterStringifyFunction &fn) const override
	Helper to serialize the layer parameters to string (currently used in DotSerializer and company).
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.
DataType	GetDataType () const
const BackendId &	GetBackendId () const
void	SetBackendId (const BackendId &id) override
	Set the backend of the IConnectableLayer.
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.
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)
virtual void	ReleaseConstantData ()
template<typename Op>
void	OperateOnConstantTensors (Op op)
const char *	GetName () const override
	Returns the name of the layer.
unsigned int	GetNumInputSlots () const override
	Returns the number of connectable input slots.
unsigned int	GetNumOutputSlots () const override
	Returns the number of connectable output slots.
const InputSlot &	GetInputSlot (unsigned int index) const override
	Get a const input slot handle by slot index.
InputSlot &	GetInputSlot (unsigned int index) override
	Get the input slot handle by slot index.
const OutputSlot &	GetOutputSlot (unsigned int index=0) const override
	Get the const output slot handle by slot index.
OutputSlot &	GetOutputSlot (unsigned int index=0) override
	Get the output slot handle by slot index.
void	SetGuid (LayerGuid guid)
LayerGuid	GetGuid () const final
	Returns the unique id of the layer.
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.
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 *LayerCreateWorkload.
void	ExecuteStrategy (IStrategy &strategy) const override
	Apply a visitor to this layer.
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 *LayerCreateWorkload.
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.

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

template<typename Parameters>

using DescriptorType = Parameters

Definition at line 17 of file LayerWithParameters.hpp.

Constructor & Destructor Documentation

◆ LayerWithParameters()

template<typename Parameters>

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)
    {
    }

References Layer::Layer(), and m_Param.

◆ ~LayerWithParameters()

template<typename Parameters>

~LayerWithParameters ( )

protecteddefault

Member Function Documentation

◆ ExecuteStrategy()

template<typename Parameters>

void ExecuteStrategy ( IStrategy & strategy ) const

inlineoverrideprotectedvirtual

Apply a visitor to this layer.

Reimplemented from Layer.

Reimplemented in LogicalBinaryLayer, LogSoftmaxLayer, LstmLayer, MeanLayer, NormalizationLayer, PadLayer, PermuteLayer, Pooling2dLayer, Pooling3dLayer, PreCompiledLayer, QLstmLayer, ReduceLayer, ReshapeLayer, ResizeLayer, SliceLayer, SoftmaxLayer, SpaceToBatchNdLayer, SpaceToDepthLayer, SplitterLayer, StackLayer, StandInLayer, StridedSliceLayer, TransposeConvolution2dLayer, TransposeLayer, and UnidirectionalSequenceLstmLayer.

Definition at line 54 of file LayerWithParameters.hpp.

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

References IStrategy::ExecuteStrategy(), Layer::GetName(), and GetParameters().

◆ GetConnectedConstantAsInputTensors()

template<typename Parameters>

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;
    }

References armnn::Constant, InputSlot::GetConnectedOutputSlot(), Layer::GetInputSlot(), Layer::GetNumInputSlots(), OutputSlot::GetOwningLayer(), and armnnUtils::GetTensorInfo().

◆ GetParameters()

template<typename Parameters>

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; }

References m_Param.

Referenced by ExecuteStrategy(), armnn::optimizations::pad_fold::FoldPadIntoLayer2dImpl(), ClBackend::OptimizeSubgraphView(), NeonBackend::OptimizeSubgraphView(), RefBackend::OptimizeSubgraphView(), armnn::RemoveReshapeLayer(), and PermuteDepthwiseConv2dWeightsImpl::~PermuteDepthwiseConv2dWeightsImpl().

◆ PrepInfoAndDesc()

template<typename Parameters>

template<typename QueueDescriptor>

WorkloadInfo PrepInfoAndDesc ( QueueDescriptor & descriptor ) const

inlineprotected

Helper function to reduce duplication in *LayerCreateWorkload.

Definition at line 44 of file LayerWithParameters.hpp.

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

References Layer::GetAllowExpandedDims(), QueueDescriptor::m_AllowExpandedDims, m_Param, and Layer::PrepInfoAndDesc().

◆ SerializeLayerParameters()

template<typename Parameters>

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);
    }

References m_Param, StringifyLayerParameters< LayerParameter >::Serialize(), and Layer::SerializeLayerParameters().

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

Member Data Documentation

◆ m_Param

template<typename Parameters>

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 GetParameters(), LayerWithParameters(), PrepInfoAndDesc(), and 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

Member Typedef Documentation

◆ DescriptorType

Constructor & Destructor Documentation

◆ LayerWithParameters()

◆ ~LayerWithParameters()

Member Function Documentation

◆ ExecuteStrategy()

◆ GetConnectedConstantAsInputTensors()

◆ GetParameters()

◆ PrepInfoAndDesc()

◆ SerializeLayerParameters()

Member Data Documentation

◆ m_Param