StridedSliceLayer Class Reference

This layer represents a strided slice operation. More...

#include <StridedSliceLayer.hpp>

Inheritance diagram for StridedSliceLayer:

Public Member Functions
virtual std::unique_ptr< IWorkload >	CreateWorkload (const IWorkloadFactory &factory) const override
	Makes a workload for the StridedSlice type. More...
StridedSliceLayer *	Clone (Graph &graph) const override
	Creates a dynamically-allocated copy of this layer. 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...
void	ValidateTensorShapesFromInputs () override
	Check if the input tensor shape(s) will lead to a valid configuration of StridedSliceLayer. More...
void	Accept (ILayerVisitor &visitor) const override
	Apply a visitor to this layer. More...
Public Member Functions inherited from LayerWithParameters< StridedSliceDescriptor >
const StridedSliceDescriptor &	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)
ShapeInferenceMethod	GetShapeInferenceMethod () 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
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)

Protected Member Functions
	StridedSliceLayer (const StridedSliceDescriptor &param, const char *name)
	Constructor to create a StridedSliceLayer. More...
	~StridedSliceLayer ()=default
	Default destructor. More...
Protected Member Functions inherited from LayerWithParameters< StridedSliceDescriptor >
	LayerWithParameters (unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const StridedSliceDescriptor &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
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 ()
Protected Member Functions inherited from IConnectableLayer
	~IConnectableLayer ()
	Objects are not deletable via the handle. More...

Additional Inherited Members
Public Types inherited from LayerWithParameters< StridedSliceDescriptor >
using	DescriptorType = StridedSliceDescriptor
Protected Types inherited from Layer
using	ConstantTensors = std::vector< std::reference_wrapper< std::unique_ptr< ScopedCpuTensorHandle > >>
Protected Attributes inherited from LayerWithParameters< StridedSliceDescriptor >
StridedSliceDescriptor	m_Param
	The parameters for the layer (not including tensor-valued weights etc.). More...
Protected Attributes inherited from Layer
std::vector< OutputHandler >	m_OutputHandlers
ShapeInferenceMethod	m_ShapeInferenceMethod

Detailed Description

This layer represents a strided slice operation.

Definition at line 13 of file StridedSliceLayer.hpp.

Constructor & Destructor Documentation

StridedSliceLayer()

StridedSliceLayer ( const StridedSliceDescriptor &  param, const char *  name  )

protected

Constructor to create a StridedSliceLayer.

Parameters

[in]	param	StridedSliceDescriptor to configure the strided slice layer.
[in]	name	Optional name for the layer.

Definition at line 17 of file StridedSliceLayer.cpp.

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

~StridedSliceLayer()

~StridedSliceLayer ( )

protecteddefault

Default destructor.

Member Function Documentation

Accept()

void Accept ( ILayerVisitor &  visitor ) const

overridevirtual

Apply a visitor to this layer.

Implements IConnectableLayer.

Definition at line 112 of file StridedSliceLayer.cpp.

References Layer::GetName(), LayerWithParameters< StridedSliceDescriptor >::GetParameters(), and ILayerVisitor::VisitStridedSliceLayer().

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

Clone()

StridedSliceLayer * 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 40 of file StridedSliceLayer.cpp.

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

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

CreateWorkload()

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

overridevirtual

Makes a workload for the StridedSlice 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 22 of file StridedSliceLayer.cpp.

References IWorkloadFactory::CreateStridedSlice(), StridedSliceDescriptor::m_Begin, StridedSliceDescriptor::m_BeginMask, StridedSliceDescriptor::m_EllipsisMask, StridedSliceDescriptor::m_End, StridedSliceDescriptor::m_EndMask, StridedSliceDescriptor::m_NewAxisMask, LayerWithParameters< StridedSliceDescriptor >::m_Param, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, StridedSliceDescriptor::m_ShrinkAxisMask, StridedSliceDescriptor::m_Stride, and LayerWithParameters< StridedSliceDescriptor >::PrepInfoAndDesc().

{
    StridedSliceQueueDescriptor descriptor;

    descriptor.m_Parameters.m_Begin  = m_Param.m_Begin;
    descriptor.m_Parameters.m_End    = m_Param.m_End;
    descriptor.m_Parameters.m_Stride = m_Param.m_Stride;

    // Optional parameters
    descriptor.m_Parameters.m_BeginMask      = m_Param.m_BeginMask;
    descriptor.m_Parameters.m_EndMask        = m_Param.m_EndMask;
    descriptor.m_Parameters.m_EllipsisMask   = m_Param.m_EllipsisMask;
    descriptor.m_Parameters.m_NewAxisMask    = m_Param.m_NewAxisMask;
    descriptor.m_Parameters.m_ShrinkAxisMask = m_Param.m_ShrinkAxisMask;

    return factory.CreateStridedSlice(descriptor, PrepInfoAndDesc(descriptor));
}

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 45 of file StridedSliceLayer.cpp.

References ARMNN_ASSERT, StridedSliceDescriptor::GetStartForAxis(), StridedSliceDescriptor::GetStopForAxis(), StridedSliceDescriptor::m_Begin, StridedSliceDescriptor::m_End, LayerWithParameters< StridedSliceDescriptor >::m_Param, StridedSliceDescriptor::m_ShrinkAxisMask, and StridedSliceDescriptor::m_Stride.

Referenced by StridedSliceLayer::ValidateTensorShapesFromInputs().

{
    ARMNN_ASSERT(inputShapes.size() == 1);

    TensorShape inputShape = inputShapes[0];
    std::vector<unsigned int> outputShape;
    unsigned int amountDimShrunk{0};

    for (unsigned int i = 0; i < inputShape.GetNumDimensions(); i++)
    {
        int stride = m_Param.m_Stride[i];
        int start = m_Param.GetStartForAxis(inputShape, i);
        int stop = m_Param.GetStopForAxis(inputShape, i, start);

        if (m_Param.m_ShrinkAxisMask & (1 << i))
        {
            amountDimShrunk+=1;

            // If the difference between the start point and the end point of the slice on an axis being shrunk
            // is greater than 1 then throw an error as the output will not be large enough to hold the slice
            if (((m_Param.m_Begin[i] - m_Param.m_End[i]) > 1) || ((m_Param.m_Begin[i] - m_Param.m_End[i]) < -1))
            {
                throw LayerValidationException(
                    "StridedSlice: Attempting to take a larger slice than can fit in inferred output");
            }

            if (stride < 0)
            {
                throw LayerValidationException(
                    "StridedSlice: Stride can not be negative with Shrink Axis Mask set.");
            }
            continue;
        }

        int newSize = stride > 0 ? ((stop - start) + stride - 1) / stride :
                                   ((start - stop) - stride - 1) / -stride;

        newSize = std::max(0, newSize);

        outputShape.push_back(boost::numeric_cast<unsigned int>(newSize));
    }

    if (outputShape.size() == 0 && (inputShape.GetNumDimensions() - amountDimShrunk) == 0)
    {
        outputShape.push_back(1);
    }

    return std::vector<TensorShape>({
        TensorShape(boost::numeric_cast<unsigned int>(outputShape.size()), &outputShape[0]) });
}

ValidateTensorShapesFromInputs()

void ValidateTensorShapesFromInputs ( )

overridevirtual

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

Parameters

[in]

shapeInferenceMethod

Indicates if output shape shall be overwritten or just validated.

Implements Layer.

Definition at line 97 of file StridedSliceLayer.cpp.

References ARMNN_ASSERT, CHECK_LOCATION, InputSlot::GetConnection(), Layer::GetInputSlot(), Layer::GetOutputSlot(), TensorInfo::GetShape(), IOutputSlot::GetTensorInfo(), OutputSlot::GetTensorInfo(), StridedSliceLayer::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, "StridedSliceLayer");
}

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

• src/armnn/layers/StridedSliceLayer.hpp
• src/armnn/layers/StridedSliceLayer.cpp