#include <LayerWithParameters.hpp>

Inheritance diagram for LayerWithParameters< Parameters >:

Public Types
using	DescriptorType = Parameters

Public Member Functions
const Parameters &	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 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

Public Member Functions inherited from IConnectableLayer
virtual void	Accept (ILayerVisitor &visitor) const =0
	Apply a visitor to this layer. More...

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. 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...

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

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

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

Detailed Description

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

Definition at line 13 of file LayerWithParameters.hpp.

Member Typedef Documentation

◆ DescriptorType

using DescriptorType = Parameters

Definition at line 16 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 29 of file LayerWithParameters.hpp.

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

◆ ~LayerWithParameters()

~LayerWithParameters ( )

protecteddefault

Referenced by LayerWithParameters< ResizeDescriptor >::LayerWithParameters().

Member Function Documentation

◆ GetParameters()

const Parameters& GetParameters ( ) const

inline

Definition at line 18 of file LayerWithParameters.hpp.

Referenced by BOOST_AUTO_TEST_CASE().

18 { return m_Param; }

armnn::LayerWithParameters::m_Param

Parameters m_Param

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

Definition: LayerWithParameters.hpp:50

◆ PrepInfoAndDesc()

WorkloadInfo PrepInfoAndDesc ( QueueDescriptor & descriptor ) const

inlineprotected

Helper function to reduce duplication in *LayerCreateWorkload.

Definition at line 43 of file LayerWithParameters.hpp.

     {
         descriptor.m_Parameters = m_Param;
         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 22 of file LayerWithParameters.hpp.

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

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

Member Data Documentation

◆ m_Param

Parameters m_Param

protected

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

Definition at line 50 of file LayerWithParameters.hpp.

Referenced by MeanLayer::Clone(), PadLayer::Clone(), ConcatLayer::CreateWorkload(), LayerWithParameters< ResizeDescriptor >::GetParameters(), LayerWithParameters< ResizeDescriptor >::PrepInfoAndDesc(), and LayerWithParameters< ResizeDescriptor >::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

Additional Inherited Members