This layer represents a GatherNd operator. More...

#include <GatherNdLayer.hpp>

Inheritance diagram for GatherNdLayer:

Collaboration diagram for GatherNdLayer:

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

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

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

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

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)

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

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

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

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	SerializeLayerParameters (ParameterStringifyFunction &fn) const
	Helper to serialize the layer parameters to string.

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)

virtual const BaseDescriptor &	GetParameters () const override
	If the layer has a descriptor return it.

Protected Member Functions
	GatherNdLayer (const char *name)
	Constructor to create a GatherNdLayer.

	~GatherNdLayer ()=default
	Default destructor.

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.

Additional Inherited Members
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>>>

Protected Attributes inherited from Layer
AdditionalInfoObjectPtr	m_AdditionalInfoObject

std::vector< OutputHandler >	m_OutputHandlers

ShapeInferenceMethod	m_ShapeInferenceMethod

Detailed Description

This layer represents a GatherNd operator.

Definition at line 14 of file GatherNdLayer.hpp.

Constructor & Destructor Documentation

◆ GatherNdLayer()

GatherNdLayer ( const char * name )

protected

Constructor to create a GatherNdLayer.

Parameters

[in] name Optional name for the layer.

Definition at line 16 of file GatherNdLayer.cpp.

    : Layer(2, 1, LayerType::GatherNd, name)
{
}

◆ ~GatherNdLayer()

~GatherNdLayer ( )

protecteddefault

Default destructor.

Member Function Documentation

◆ Clone()

GatherNdLayer * 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 29 of file GatherNdLayer.cpp.

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

References Layer::GetName().

◆ CreateWorkload()

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

overridevirtual

Makes a workload for the Gather 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 21 of file GatherNdLayer.cpp.

{
    GatherNdQueueDescriptor descriptor;
    SetAdditionalInfo(descriptor);
 
    return factory.CreateWorkload(LayerType::GatherNd, descriptor, PrepInfoAndDesc(descriptor));
}

References IWorkloadFactory::CreateWorkload(), armnn::GatherNd, Layer::PrepInfoAndDesc(), and Layer::SetAdditionalInfo().

◆ InferOutputShapes()

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

overridevirtual

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.

Implements IConnectableLayer.

Definition at line 34 of file GatherNdLayer.cpp.

{
    if (inputShapes.size() != 2)
    {
        throw armnn::Exception("inputShapes' size is \"" + std::to_string(inputShapes.size()) +
                               "\" - should be \"2\".");
    }
 
    const TensorShape& params = inputShapes[0];
    const TensorShape& indices = inputShapes[1];
 
    if (indices.GetDimensionality() == Dimensionality::Scalar && indices.GetNumDimensions() == 1)
    {
         return std::vector<TensorShape>({ TensorShape(Dimensionality::Scalar)});
    }
 
    const unsigned int paramsDim = params.GetNumDimensions();
    const unsigned int indicesDim = indices.GetNumDimensions();
 
    // last dimension of indices
    unsigned int index_depth = indices[indicesDim - 1];
    if (index_depth > paramsDim)
    {
        throw armnn::Exception("index_depth must not be greater than paramsDim (\""
                               + std::to_string(index_depth) +
                               "\" vs \""
                               + std::to_string(paramsDim) + "\")");
    }
 
    // all but the last dimension of indices
    std::vector<unsigned int> outer_shape;
    outer_shape.reserve(indicesDim - 1);
    for (unsigned int i = 0; i < indicesDim - 1; ++i)
    {
        outer_shape.emplace_back(indices[i]);
    }
 
    // elements after index_depth
    std::vector<unsigned int> inner_shape;
    inner_shape.reserve(paramsDim - index_depth);
    for (unsigned int i = index_depth; i < paramsDim; ++i)
    {
        inner_shape.emplace_back(params[i]);
    }
 
    // concatenate outer_shape + inner_shape
    std::vector<unsigned int> output_shape;
    output_shape.reserve( outer_shape.size() + inner_shape.size() );
    output_shape.insert( output_shape.end(), outer_shape.begin(), outer_shape.end() );
    output_shape.insert( output_shape.end(), inner_shape.begin(), inner_shape.end() );
 
    const auto outputDim = static_cast<unsigned int>(output_shape.size());
    return std::vector<TensorShape>({ TensorShape({outputDim, output_shape.data()})});
}

References TensorShape::GetDimensionality(), TensorShape::GetNumDimensions(), and armnn::Scalar.

Referenced by GatherNdLayer::ValidateTensorShapesFromInputs().

◆ ValidateTensorShapesFromInputs()

void ValidateTensorShapesFromInputs ( )

overridevirtual

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

Implements Layer.

Definition at line 89 of file GatherNdLayer.cpp.

{
    VerifyLayerConnections(2, CHECK_LOCATION());
 
    const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
 
    VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
 
    std::vector<TensorShape> inferredShapes = InferOutputShapes(
            {GetInputSlot(0).GetTensorInfo().GetShape(),
             GetInputSlot(1).GetTensorInfo().GetShape()});
 
    if (inferredShapes.size() != 1)
    {
        throw armnn::LayerValidationException("inferredShapes has "
                                              + std::to_string(inferredShapes.size()) +
                                              " elements - should only have 1.");
    }
 
    if (inferredShapes[0].GetDimensionality() != Dimensionality::Specified &&
        inferredShapes[0].GetDimensionality() != Dimensionality::Scalar)
    {
        throw armnn::LayerValidationException("inferredShapes' dimensionality is neither specified nor scalar.");
    }
 
    ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "GatherNdLayer");
}

References CHECK_LOCATION, Layer::GetInputSlot(), Layer::GetOutputSlot(), TensorInfo::GetShape(), InputSlot::GetTensorInfo(), OutputSlot::GetTensorInfo(), GatherNdLayer::InferOutputShapes(), Layer::m_ShapeInferenceMethod, armnn::Scalar, armnn::Specified, Layer::ValidateAndCopyShape(), Layer::VerifyLayerConnections(), and Layer::VerifyShapeInferenceType().

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

src/armnn/layers/GatherNdLayer.hpp
src/armnn/layers/GatherNdLayer.cpp

Public Member Functions

Protected Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ GatherNdLayer()

◆ ~GatherNdLayer()

Member Function Documentation

◆ Clone()

◆ CreateWorkload()

◆ InferOutputShapes()

◆ ValidateTensorShapesFromInputs()