This layer represents a transpose operation. More...

#include <TransposeLayer.hpp>

Inheritance diagram for TransposeLayer:

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

TransposeLayer *	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 TransposeLayer. More...

std::vector< TensorShape >	InferOutputShapes (const std::vector< TensorShape > &inputShapes) const override
	Infers the output shapes from given input shapes and the permutation vector. 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...

ARMNN_NO_DEPRECATE_WARN_BEGIN void	Accept (ILayerVisitor &visitor) const override

Public Member Functions inherited from LayerWithParameters< TransposeDescriptor >
const TransposeDescriptor &	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)

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

void	SetShapeInferenceMethod (ShapeInferenceMethod shapeInferenceMethod)

void	SetAllowExpandedDims (bool allowExpandedDims)

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

void	SetAdditionalInfoForObject (const AdditionalInfoObjectPtr &additionalInfo)

Public Member Functions inherited from IConnectableLayer
ARMNN_NO_DEPRECATE_WARN_BEGIN	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("Accept is deprecated. The ILayerVisitor that works in conjunction with this " "Accept function is deprecated. Use IStrategy in combination with " "ExecuteStrategy instead, which is an ABI/API stable version of the " "visitor pattern.", "22.05") virtual void Accept(ILayerVisitor &visitor) const =0
	Apply a visitor to this layer. More...

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

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

Protected Member Functions inherited from LayerWithParameters< TransposeDescriptor >
	LayerWithParameters (unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const TransposeDescriptor &param, const char *name)

	~LayerWithParameters ()=default

WorkloadInfo	PrepInfoAndDesc (QueueDescriptor &descriptor) const
	Helper function to reduce duplication in *LayerCreateWorkload. More...

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

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. More...

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

virtual ConstantTensors	GetConstantTensorsByRef () override

void	SetAdditionalInfo (QueueDescriptor &descriptor) const

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

Additional Inherited Members
Public Types inherited from LayerWithParameters< TransposeDescriptor >
using	DescriptorType = TransposeDescriptor

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

Protected Attributes inherited from LayerWithParameters< TransposeDescriptor >
TransposeDescriptor	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

This layer represents a transpose operation.

Definition at line 15 of file TransposeLayer.hpp.

Constructor & Destructor Documentation

◆ TransposeLayer()

TransposeLayer	(	const TransposeDescriptor &	param,
		const char *	name
	)

protected

Constructor to create a TransposeLayer.

Parameters

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

Definition at line 20 of file TransposeLayer.cpp.

References armnnUtils::Transpose().

Referenced by TransposeLayer::IsEqual().

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

◆ ~TransposeLayer()

~TransposeLayer ( )

protecteddefault

Default destructor.

Referenced by TransposeLayer::IsEqual().

Member Function Documentation

◆ Accept()

ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept ( ILayerVisitor & visitor ) const

override

Definition at line 61 of file TransposeLayer.cpp.

References ARMNN_NO_DEPRECATE_WARN_END, Layer::GetName(), and LayerWithParameters< TransposeDescriptor >::GetParameters().

Referenced by TransposeLayer::IsEqual().

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

◆ Clone()

TransposeLayer * 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 33 of file TransposeLayer.cpp.

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

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

◆ CreateWorkload()

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

overridevirtual

Makes a workload for the Transpose type.

Parameters

[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 TransposeLayer.cpp.

References IWorkloadFactory::CreateWorkload(), LayerWithParameters< TransposeDescriptor >::PrepInfoAndDesc(), Layer::SetAdditionalInfo(), and armnn::Transpose.

 {
     TransposeQueueDescriptor descriptor;
     SetAdditionalInfo(descriptor);
 
     return factory.CreateWorkload(LayerType::Transpose, descriptor, PrepInfoAndDesc(descriptor));
 }

◆ GetPermutation()

const PermutationVector& GetPermutation ( ) const

inline

Returns: a permutation vector describing the permutation for the dimensions of the input tensor.

Definition at line 38 of file TransposeLayer.hpp.

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

Referenced by TransposeLayer::IsEqual(), TransposeLayer::IsInverse(), and TransposeAsReshapeImpl::Run().

     {
         return m_Param.m_DimMappings;
     }

◆ InferOutputShapes()

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

overridevirtual

Infers the output shapes from given input shapes and the permutation vector.

Parameters

[in] inputShapes The input shapes layer has.

Returns: A vector to the inferred output shape.

Reimplemented from Layer.

Definition at line 38 of file TransposeLayer.cpp.

References ARMNN_ASSERT, TransposeDescriptor::m_DimMappings, LayerWithParameters< TransposeDescriptor >::m_Param, and armnnUtils::TransposeTensorShape().

Referenced by TransposeLayer::ValidateTensorShapesFromInputs().

 {
     ARMNN_ASSERT(inputShapes.size() == 1);
     const TensorShape& inShape = inputShapes[0];
     return std::vector<TensorShape> ({armnnUtils::TransposeTensorShape(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

[in] other The other layer to be compare with.

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

Definition at line 55 of file TransposeLayer.hpp.

References TransposeLayer::Accept(), ARMNN_NO_DEPRECATE_WARN_BEGIN, ARMNN_NO_DEPRECATE_WARN_END, TransposeLayer::GetPermutation(), Layer::GetType(), PermutationVector::IsEqual(), armnn::Transpose, TransposeLayer::TransposeLayer(), and TransposeLayer::~TransposeLayer().

     {
         return (other.GetType() == LayerType::Transpose) &&
                GetPermutation().IsEqual(PolymorphicDowncast<const TransposeLayer*>(&other)->GetPermutation());
     }

◆ IsInverse()

bool IsInverse ( const Layer & other ) const

inline

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

Parameters

[in] other The other layer to be compared with.

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

Definition at line 46 of file TransposeLayer.hpp.

References TransposeLayer::GetPermutation(), Layer::GetType(), PermutationVector::IsInverse(), and armnn::Transpose.

     {
         return (other.GetType() == LayerType::Transpose) &&
             GetPermutation().IsInverse(PolymorphicDowncast<const TransposeLayer*>(&other)->GetPermutation());
     }

◆ ValidateTensorShapesFromInputs()

void ValidateTensorShapesFromInputs ( )

overridevirtual

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

Parameters

[in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.

Implements Layer.

Definition at line 45 of file TransposeLayer.cpp.

References ARMNN_ASSERT, ARMNN_NO_DEPRECATE_WARN_BEGIN, CHECK_LOCATION, InputSlot::GetConnection(), Layer::GetInputSlot(), Layer::GetOutputSlot(), TensorInfo::GetShape(), IOutputSlot::GetTensorInfo(), OutputSlot::GetTensorInfo(), TransposeLayer::InferOutputShapes(), Layer::m_ShapeInferenceMethod, Layer::ValidateAndCopyShape(), Layer::VerifyLayerConnections(), and Layer::VerifyShapeInferenceType().

 {
     VerifyLayerConnections(1, CHECK_LOCATION());
 
     const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
 
     VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
 
     auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
 
     ARMNN_ASSERT(inferredShapes.size() == 1);
 
     ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "TransposeLayer");
 }

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

src/armnn/layers/TransposeLayer.hpp
src/armnn/layers/TransposeLayer.cpp

Public Member Functions

Protected Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ TransposeLayer()

◆ ~TransposeLayer()

Member Function Documentation

◆ Accept()

◆ Clone()

◆ CreateWorkload()

◆ GetPermutation()

◆ InferOutputShapes()

◆ IsEqual()

◆ IsInverse()

◆ ValidateTensorShapesFromInputs()