IConnectableLayer Class Reference

Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. More...

#include <INetwork.hpp>

Inheritance diagram for IConnectableLayer:

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

Public Member Functions
virtual const char *	GetName () const =0
	Returns the name of the layer. More...
virtual unsigned int	GetNumInputSlots () const =0
	Returns the number of connectable input slots. More...
virtual unsigned int	GetNumOutputSlots () const =0
	Returns the number of connectable output slots. More...
virtual const IInputSlot &	GetInputSlot (unsigned int index) const =0
	Get a const input slot handle by slot index. More...
virtual IInputSlot &	GetInputSlot (unsigned int index)=0
	Get the input slot handle by slot index. More...
virtual const IOutputSlot &	GetOutputSlot (unsigned int index) const =0
	Get the const output slot handle by slot index. More...
virtual IOutputSlot &	GetOutputSlot (unsigned int index)=0
	Get the output slot handle by slot index. More...
virtual std::vector< TensorShape >	InferOutputShapes (const std::vector< TensorShape > &inputShapes) const =0
	Infer the shape of the output(s) based on the provided input shape(s) More...
virtual LayerGuid	GetGuid () const =0
	Returns the unique id of the layer. More...
virtual void	ExecuteStrategy (IStrategy &strategy) const =0
	Apply a visitor to this layer. More...
virtual void	BackendSelectionHint (Optional< BackendId > backend)=0
	Provide a hint for the optimizer as to which backend to prefer for this layer. More...
virtual LayerType	GetType () const =0
	Returns the armnn::LayerType of this layer. More...
virtual const BaseDescriptor &	GetParameters () const =0
	If the layer has a descriptor return it. More...
virtual ConstantTensors	GetConstantTensorsByRef ()=0

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

Detailed Description

Interface for a layer that is connectable to other layers via InputSlots and OutputSlots.

Examples:

AsyncExecutionSample.cpp, CustomMemoryAllocatorSample.cpp, DynamicSample.cpp, and SimpleSample.cpp.

Definition at line 68 of file INetwork.hpp.

Member Typedef Documentation

ConstantTensors

using ConstantTensors = std::vector<std::reference_wrapper<std::shared_ptr<ConstTensorHandle> >>

Definition at line 114 of file INetwork.hpp.

Constructor & Destructor Documentation

~IConnectableLayer()

~IConnectableLayer ( )

inlineprotected

Objects are not deletable via the handle.

Definition at line 121 of file INetwork.hpp.

{}

Member Function Documentation

BackendSelectionHint()

virtual void BackendSelectionHint ( Optional< BackendId >  backend )

pure virtual

Provide a hint for the optimizer as to which backend to prefer for this layer.

Implemented in Layer.

Referenced by TEST_SUITE().

ExecuteStrategy()

virtual void ExecuteStrategy ( IStrategy &  strategy ) const

pure virtual

Apply a visitor to this layer.

Implemented in BindableLayer, Layer, QLstmLayer, QuantizedLstmLayer, PermuteLayer, TransposeLayer, LayerWithParameters< Parameters >, LayerWithParameters< FakeQuantizationDescriptor >, LayerWithParameters< SoftmaxDescriptor >, LayerWithParameters< ReduceDescriptor >, LayerWithParameters< LogSoftmaxDescriptor >, LayerWithParameters< PreCompiledDescriptor >, LayerWithParameters< LstmDescriptor >, LayerWithParameters< ChannelShuffleDescriptor >, LayerWithParameters< BatchToSpaceNdDescriptor >, LayerWithParameters< PermuteDescriptor >, LayerWithParameters< SpaceToBatchNdDescriptor >, LayerWithParameters< DepthToSpaceDescriptor >, LayerWithParameters< ReshapeDescriptor >, LayerWithParameters< ElementwiseUnaryDescriptor >, LayerWithParameters< GatherDescriptor >, LayerWithParameters< SpaceToDepthDescriptor >, LayerWithParameters< OriginsDescriptor >, LayerWithParameters< ViewsDescriptor >, LayerWithParameters< Pooling2dDescriptor >, LayerWithParameters< Convolution2dDescriptor >, LayerWithParameters< ActivationDescriptor >, LayerWithParameters< StandInDescriptor >, LayerWithParameters< TransposeDescriptor >, LayerWithParameters< StackDescriptor >, LayerWithParameters< MeanDescriptor >, LayerWithParameters< ComparisonDescriptor >, LayerWithParameters< InstanceNormalizationDescriptor >, LayerWithParameters< TransposeConvolution2dDescriptor >, LayerWithParameters< BatchNormalizationDescriptor >, LayerWithParameters< BatchMatMulDescriptor >, LayerWithParameters< ArgMinMaxDescriptor >, LayerWithParameters< LogicalBinaryDescriptor >, LayerWithParameters< DetectionPostProcessDescriptor >, LayerWithParameters< PadDescriptor >, LayerWithParameters< Convolution3dDescriptor >, LayerWithParameters< L2NormalizationDescriptor >, LayerWithParameters< FillDescriptor >, LayerWithParameters< SliceDescriptor >, LayerWithParameters< DepthwiseConvolution2dDescriptor >, LayerWithParameters< QLstmDescriptor >, LayerWithParameters< NormalizationDescriptor >, LayerWithParameters< FullyConnectedDescriptor >, LayerWithParameters< StridedSliceDescriptor >, LayerWithParameters< ResizeDescriptor >, LayerWithParameters< Pooling3dDescriptor >, Convolution2dLayer, ReshapeLayer, UnidirectionalSequenceLstmLayer, ConcatLayer, LstmLayer, DepthwiseConvolution2dLayer, FullyConnectedLayer, SplitterLayer, TransposeConvolution2dLayer, OutputLayer, BatchNormalizationLayer, ConstantLayer, Convolution3dLayer, ComparisonLayer, DepthToSpaceLayer, LogicalBinaryLayer, PadLayer, PreluLayer, SpaceToBatchNdLayer, SpaceToDepthLayer, StandInLayer, ArgMinMaxLayer, BatchToSpaceNdLayer, DetectionPostProcessLayer, ElementwiseUnaryLayer, GatherLayer, Pooling2dLayer, Pooling3dLayer, ResizeLayer, ShapeLayer, SliceLayer, StackLayer, StridedSliceLayer, MergeLayer, PreCompiledLayer, FakeQuantizationLayer, LogSoftmaxLayer, MeanLayer, AbsLayer, ConvertBf16ToFp32Layer, ConvertFp16ToFp32Layer, ConvertFp32ToBf16Layer, DebugLayer, DequantizeLayer, FloorLayer, InputLayer, InstanceNormalizationLayer, L2NormalizationLayer, MapLayer, MemCopyLayer, MemImportLayer, NormalizationLayer, RsqrtLayer, SoftmaxLayer, SwitchLayer, UnmapLayer, ConvertFp32ToFp16Layer, ElementwiseBaseLayer, FillLayer, ReduceLayer, ActivationLayer, DivisionLayer, MaximumLayer, MinimumLayer, MultiplicationLayer, SubtractionLayer, AdditionLayer, QuantizeLayer, and RankLayer.

Referenced by armnn::TEST_SUITE().

GetConstantTensorsByRef()

virtual ConstantTensors GetConstantTensorsByRef ( )

pure virtual

Implemented in Layer, QLstmLayer, QuantizedLstmLayer, Convolution2dLayer, DepthwiseConvolution2dLayer, UnidirectionalSequenceLstmLayer, LstmLayer, FullyConnectedLayer, TransposeConvolution2dLayer, ConstantLayer, BatchNormalizationLayer, and DetectionPostProcessLayer.

Referenced by TEST_SUITE().

GetGuid()

virtual LayerGuid GetGuid ( ) const

pure virtual

Returns the unique id of the layer.

Implemented in Layer.

Referenced by armnnSerializer::GetFlatBufferArgMinMaxFunction(), SubgraphViewSelector::SelectSubgraphs(), RangeTracker::SetRange(), TEST_SUITE(), and VerifyPostOptimisationStructureTestImpl().

GetInputSlot() [1/2]

virtual const IInputSlot& GetInputSlot ( unsigned int  index ) const

pure virtual

Get a const input slot handle by slot index.

Implemented in Layer.

Examples:

AsyncExecutionSample.cpp, CustomMemoryAllocatorSample.cpp, DynamicSample.cpp, and SimpleSample.cpp.

Referenced by armnnTfLiteParser::ComputeWrappedIndex(), Connect(), OnnxParserImpl::CreateNetworkFromString(), CreateTestNetwork(), IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo(), TfLiteParserImpl::GetOutputTensorIds(), GetSoftmaxProfilerJson(), SerializerStrategy::GetVersionTable(), TfLiteParserImpl::OutputShapeOfReshape(), TfLiteParserImpl::OutputShapeOfSqueeze(), ArmNNExecutor::PrintNetworkInfo(), armnn::RevertConstantWeightsToFP32(), TEST_SUITE(), armnn::TEST_SUITE(), LayerVerifierBase::VerifyNameAndConnections(), and VerifyPostOptimisationStructureTestImpl().

GetInputSlot() [2/2]

virtual IInputSlot& GetInputSlot ( unsigned int  index )

pure virtual

Get the input slot handle by slot index.

Implemented in Layer.

GetName()

virtual const char* GetName ( ) const

pure virtual

Returns the name of the layer.

Implemented in Layer.

Referenced by armnnTfLiteParser::ComputeWrappedIndex(), Connect(), SerializerStrategy::ExecuteStrategy(), armnnSerializer::GetFlatBufferArgMinMaxFunction(), TfLiteParserImpl::OutputShapeOfReshape(), and TEST_SUITE().

GetNumInputSlots()

virtual unsigned int GetNumInputSlots ( ) const

pure virtual

Returns the number of connectable input slots.

Implemented in Layer.

Referenced by OnnxParserImpl::CreateNetworkFromString(), IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo(), TfLiteParserImpl::GetOutputTensorIds(), SerializerStrategy::GetVersionTable(), TEST_SUITE(), and LayerVerifierBase::VerifyNameAndConnections().

GetNumOutputSlots()

virtual unsigned int GetNumOutputSlots ( ) const

pure virtual

Returns the number of connectable output slots.

Implemented in Layer.

Referenced by armnnTfLiteParser::ComputeWrappedIndex(), OnnxParserImpl::CreateNetworkFromString(), IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo(), TfLiteParserImpl::GetOutputTensorIds(), SerializerStrategy::GetVersionTable(), SubgraphView::GetWorkingCopy(), TfLiteParserImpl::OutputShapeOfReshape(), RangeTracker::SetRange(), TEST_SUITE(), and LayerVerifierBase::VerifyNameAndConnections().

GetOutputSlot() [1/2]

virtual const IOutputSlot& GetOutputSlot ( unsigned int  index ) const

pure virtual

Get the const output slot handle by slot index.

Implemented in Layer.

Examples:

AsyncExecutionSample.cpp, CustomMemoryAllocatorSample.cpp, DynamicSample.cpp, and SimpleSample.cpp.

Referenced by armnnTfLiteParser::AsFloatArray(), armnnTfLiteParser::ComputeWrappedIndex(), Connect(), OnnxParserImpl::CreateNetworkFromString(), CreateTestNetwork(), IDeserializer::DeserializerImpl::GetLstmDescriptor(), IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo(), IDeserializer::DeserializerImpl::GetNormalizationDescriptor(), armnnDeserializer::GetOriginsDescriptor(), TfLiteParserImpl::GetOutputTensorIds(), IDeserializer::DeserializerImpl::GetPooling3dDescriptor(), IDeserializer::DeserializerImpl::GetQLstmDescriptor(), GetSoftmaxProfilerJson(), IDeserializer::DeserializerImpl::GetUnidirectionalSequenceLstmDescriptor(), SerializerStrategy::GetVersionTable(), SubgraphView::GetWorkingCopy(), IDeserializer::DeserializerImpl::OutputShapeOfReshape(), TfLiteParserImpl::OutputShapeOfReshape(), TfLiteParserImpl::OutputShapeOfSqueeze(), ArmNNExecutor::PrintNetworkInfo(), armnn::RevertConstantWeightsToFP32(), TEST_SUITE(), armnn::TEST_SUITE(), LayerVerifierBase::VerifyNameAndConnections(), and VerifyPostOptimisationStructureTestImpl().

GetOutputSlot() [2/2]

virtual IOutputSlot& GetOutputSlot ( unsigned int  index )

pure virtual

Get the output slot handle by slot index.

Implemented in Layer.

GetParameters()

virtual const BaseDescriptor& GetParameters ( ) const

pure virtual

If the layer has a descriptor return it.

The base descriptor can then be cast to the correct descriptor class. If the layer has no associated descriptor a struct of type NullDescriptor will be returned. Note: NullDescriptors can be detected because they return true when the BaseDescriptor IsNull function is invoked.

Implemented in Layer, LayerWithParameters< Parameters >, LayerWithParameters< FakeQuantizationDescriptor >, LayerWithParameters< SoftmaxDescriptor >, LayerWithParameters< ReduceDescriptor >, LayerWithParameters< LogSoftmaxDescriptor >, LayerWithParameters< PreCompiledDescriptor >, LayerWithParameters< LstmDescriptor >, LayerWithParameters< ChannelShuffleDescriptor >, LayerWithParameters< BatchToSpaceNdDescriptor >, LayerWithParameters< PermuteDescriptor >, LayerWithParameters< SpaceToBatchNdDescriptor >, LayerWithParameters< DepthToSpaceDescriptor >, LayerWithParameters< ReshapeDescriptor >, LayerWithParameters< ElementwiseUnaryDescriptor >, LayerWithParameters< GatherDescriptor >, LayerWithParameters< SpaceToDepthDescriptor >, LayerWithParameters< OriginsDescriptor >, LayerWithParameters< ViewsDescriptor >, LayerWithParameters< Pooling2dDescriptor >, LayerWithParameters< Convolution2dDescriptor >, LayerWithParameters< ActivationDescriptor >, LayerWithParameters< StandInDescriptor >, LayerWithParameters< TransposeDescriptor >, LayerWithParameters< StackDescriptor >, LayerWithParameters< MeanDescriptor >, LayerWithParameters< ComparisonDescriptor >, LayerWithParameters< InstanceNormalizationDescriptor >, LayerWithParameters< TransposeConvolution2dDescriptor >, LayerWithParameters< BatchNormalizationDescriptor >, LayerWithParameters< BatchMatMulDescriptor >, LayerWithParameters< ArgMinMaxDescriptor >, LayerWithParameters< LogicalBinaryDescriptor >, LayerWithParameters< DetectionPostProcessDescriptor >, LayerWithParameters< PadDescriptor >, LayerWithParameters< Convolution3dDescriptor >, LayerWithParameters< L2NormalizationDescriptor >, LayerWithParameters< FillDescriptor >, LayerWithParameters< SliceDescriptor >, LayerWithParameters< DepthwiseConvolution2dDescriptor >, LayerWithParameters< QLstmDescriptor >, LayerWithParameters< NormalizationDescriptor >, LayerWithParameters< FullyConnectedDescriptor >, LayerWithParameters< StridedSliceDescriptor >, LayerWithParameters< ResizeDescriptor >, and LayerWithParameters< Pooling3dDescriptor >.

Referenced by TEST_SUITE().

GetType()

virtual LayerType GetType ( ) const

pure virtual

Returns the armnn::LayerType of this layer.

Implemented in Layer.

Referenced by armnnTfLiteParser::AsFloatArray(), Connect(), SerializerStrategy::ExecuteStrategy(), TestInputLayerVisitor::ExecuteStrategy(), TestConvolution2dLayerVisitor::ExecuteStrategy(), LayerVerifierBase::ExecuteStrategy(), StrategyBase< NoThrowStrategy >::ExecuteStrategy(), LayerVerifierBaseWithDescriptor< Descriptor >::ExecuteStrategy(), TestOutputLayerVisitor::ExecuteStrategy(), TestDepthwiseConvolution2dLayerVisitor::ExecuteStrategy(), TestFullyConnectedLayerVistor::ExecuteStrategy(), LayerVerifierBaseWithDescriptorAndConstants< Descriptor >::ExecuteStrategy(), TestBatchNormalizationLayerVisitor::ExecuteStrategy(), TestConstantLayerVisitor::ExecuteStrategy(), TestLstmLayerVisitor::ExecuteStrategy(), TestQLstmLayerVisitor::ExecuteStrategy(), TestQuantizedLstmLayerVisitor::ExecuteStrategy(), SubgraphView::GetWorkingCopy(), ArmNNExecutor::PrintNetworkInfo(), and TEST_SUITE().

InferOutputShapes()

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

pure virtual

Infer the shape of the output(s) based on the provided input shape(s)

Implemented in Layer, QLstmLayer, QuantizedLstmLayer, ConcatLayer, Convolution2dLayer, LstmLayer, UnidirectionalSequenceLstmLayer, DepthwiseConvolution2dLayer, FullyConnectedLayer, SplitterLayer, TransposeConvolution2dLayer, Convolution3dLayer, ConstantLayer, PermuteLayer, ReshapeLayer, PadLayer, StandInLayer, BatchToSpaceNdLayer, Pooling2dLayer, Pooling3dLayer, ResizeLayer, ShapeLayer, SliceLayer, StackLayer, TransposeLayer, MergeLayer, ComparisonLayer, DepthToSpaceLayer, LogicalBinaryLayer, PreluLayer, SpaceToBatchNdLayer, SpaceToDepthLayer, ArgMinMaxLayer, ElementwiseUnaryLayer, GatherLayer, StridedSliceLayer, BatchMatMulLayer, GatherNdLayer, and ElementwiseBaseLayer.

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

• include/armnn/INetwork.hpp