This layer represents a permutation operation. More...

#include <PermuteLayer.hpp>

Inheritance diagram for PermuteLayer:

Public Member Functions
virtual std::unique_ptr< IWorkload >	CreateWorkload (const IWorkloadFactory &factory) const override
	Makes a workload for the Permute type. More...

PermuteLayer *	Clone (Graph &graph) const override
	Creates a dynamically-allocated copy of this layer. More...

void	ValidateTensorShapesFromInputs () override
	Check if the input tensor shape(s) will lead to a valid configuration of PermuteLayer. More...

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

const PermutationVector &	GetPermutation () const

bool	IsInverse (const Layer &other) const
	Indicates if the other layer received is inverse of this one. More...

bool	IsEqual (const Layer &other) const
	Indicates if the other layer received is equal to this one. More...

void	Accept (ILayerVisitor &visitor) const override
	Apply a visitor to this layer. More...

Public Member Functions inherited from LayerWithParameters< PermuteDescriptor >
const PermuteDescriptor &	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 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
	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

Protected Member Functions
	PermuteLayer (const PermuteDescriptor &param, const char *name)
	Constructor to create a PermuteLayer. More...

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

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

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

Protected Attributes inherited from LayerWithParameters< PermuteDescriptor >
PermuteDescriptor	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 permutation operation.

Definition at line 13 of file PermuteLayer.hpp.

Constructor & Destructor Documentation

◆ PermuteLayer()

PermuteLayer	(	const PermuteDescriptor &	param,
		const char *	name
	)

protected

Constructor to create a PermuteLayer.

Parameters

[in]	param	PermuteDescriptor to configure the permute operation.
[in]	name	Optional name for the layer.

Definition at line 20 of file PermuteLayer.cpp.

References armnnUtils::Permute().

Referenced by PermuteLayer::IsEqual().

     : LayerWithParameters(1, 1, LayerType::Permute, param, name)
 {
 }

◆ ~PermuteLayer()

~PermuteLayer ( )

protecteddefault

Default destructor.

Referenced by PermuteLayer::IsEqual().

Member Function Documentation

◆ Accept()

void Accept ( ILayerVisitor & visitor ) const

overridevirtual

Apply a visitor to this layer.

Implements IConnectableLayer.

Definition at line 57 of file PermuteLayer.cpp.

References Layer::GetName(), LayerWithParameters< PermuteDescriptor >::GetParameters(), and ILayerVisitor::VisitPermuteLayer().

Referenced by PermuteLayer::IsEqual().

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

◆ Clone()

PermuteLayer * 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 31 of file PermuteLayer.cpp.

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

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

◆ CreateWorkload()

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

overridevirtual

Makes a workload for the Permute 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 25 of file PermuteLayer.cpp.

References IWorkloadFactory::CreatePermute(), and LayerWithParameters< PermuteDescriptor >::PrepInfoAndDesc().

 {
     PermuteQueueDescriptor descriptor;
     return factory.CreatePermute(descriptor, PrepInfoAndDesc(descriptor));
 }

◆ GetPermutation()

const PermutationVector& GetPermutation ( ) const

inline

Returns: a permutation vector represents the memory layout of the tensor elements.

Definition at line 37 of file PermuteLayer.hpp.

References PermuteDescriptor::m_DimMappings, and LayerWithParameters< PermuteDescriptor >::m_Param.

Referenced by PermuteLayer::IsEqual(), PermuteLayer::IsInverse(), and PermuteAsReshapeImpl::Run().

     {
         return m_Param.m_DimMappings;
     }

◆ 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 36 of file PermuteLayer.cpp.

References PermuteDescriptor::m_DimMappings, LayerWithParameters< PermuteDescriptor >::m_Param, and armnnUtils::Permuted().

Referenced by PermuteLayer::ValidateTensorShapesFromInputs().

 {
     BOOST_ASSERT(inputShapes.size() == 1);
     const TensorShape& inShape = inputShapes[0];
     return std::vector<TensorShape> ({armnnUtils::Permuted(inShape, m_Param.m_DimMappings)});
 }

◆ IsEqual()

bool IsEqual ( const Layer & other ) const

inline

Indicates if the other layer received is equal to this one.

Parameters

other The other layer to be compare with.

Returns: true if other layer is equal to this false otherwise.

Definition at line 54 of file PermuteLayer.hpp.

References PermuteLayer::Accept(), PermuteLayer::GetPermutation(), Layer::GetType(), PermutationVector::IsEqual(), armnn::Permute, PermuteLayer::PermuteLayer(), and PermuteLayer::~PermuteLayer().

     {
         return (other.GetType() == LayerType::Permute) &&
                GetPermutation().IsEqual(boost::polymorphic_downcast<const PermuteLayer*>(&other)->GetPermutation());
     }

◆ IsInverse()

bool IsInverse ( const Layer & other ) const

inline

Indicates if the other layer received is inverse of this one.

Parameters

other The other layer to be compared with.

Returns: true if other layer is inverse of this false otherwise.

Definition at line 45 of file PermuteLayer.hpp.

References PermuteLayer::GetPermutation(), Layer::GetType(), PermutationVector::IsInverse(), and armnn::Permute.

     {
         return (other.GetType() == LayerType::Permute) &&
             GetPermutation().IsInverse(boost::polymorphic_downcast<const PermuteLayer*>(&other)->GetPermutation());
     }

◆ ValidateTensorShapesFromInputs()

void ValidateTensorShapesFromInputs ( )

overridevirtual

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

Implements Layer.

Definition at line 43 of file PermuteLayer.cpp.

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

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

Public Member Functions

Protected Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ PermuteLayer()

◆ ~PermuteLayer()

Member Function Documentation

◆ Accept()

◆ Clone()

◆ CreateWorkload()

◆ GetPermutation()

◆ InferOutputShapes()

◆ IsEqual()

◆ IsInverse()

◆ ValidateTensorShapesFromInputs()