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 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	Accept (ILayerVisitor &visitor) 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...

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.

Definition at line 61 of file INetwork.hpp.

Constructor & Destructor Documentation

~IConnectableLayer()

~IConnectableLayer ( )

inlineprotected

Objects are not deletable via the handle.

Definition at line 98 of file INetwork.hpp.

{}

Member Function Documentation

Accept()

virtual void Accept ( ILayerVisitor &  visitor ) const

pure virtual

Apply a visitor to this layer.

Implemented in LstmLayer, QuantizedLstmLayer, PermuteLayer, TransposeLayer, SplitterLayer, ConcatLayer, ReshapeLayer, Convolution2dLayer, DepthwiseConvolution2dLayer, FullyConnectedLayer, OutputLayer, TransposeConvolution2dLayer, BatchNormalizationLayer, ConstantLayer, StandInLayer, ComparisonLayer, DepthToSpaceLayer, PreluLayer, SpaceToBatchNdLayer, SpaceToDepthLayer, ArgMinMaxLayer, BatchToSpaceNdLayer, DetectionPostProcessLayer, ElementwiseUnaryLayer, Pooling2dLayer, PreCompiledLayer, ResizeLayer, SliceLayer, StackLayer, StridedSliceLayer, MergeLayer, ConvertFp16ToFp32Layer, GatherLayer, LogSoftmaxLayer, MeanLayer, PadLayer, AbsLayer, ConvertFp32ToFp16Layer, DebugLayer, DequantizeLayer, FakeQuantizationLayer, FloorLayer, InputLayer, InstanceNormalizationLayer, L2NormalizationLayer, MemCopyLayer, MemImportLayer, NormalizationLayer, RsqrtLayer, SoftmaxLayer, SwitchLayer, ActivationLayer, DivisionLayer, MaximumLayer, MinimumLayer, MultiplicationLayer, SubtractionLayer, AdditionLayer, and QuantizeLayer.

Referenced by armnn::BOOST_AUTO_TEST_CASE().

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.

GetGuid()

virtual LayerGuid GetGuid ( ) const

pure virtual

Returns the unique id of the layer.

Implemented in Layer.

Referenced by BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), QuantizerVisitor::QuantizerVisitor(), RangeTracker::SetRange(), VerifyPostOptimisationStructureTestImpl(), and SerializerVisitor::VisitQuantizedLstmLayer().

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.

Referenced by CaffeParserBase::AddConvLayerWithSplits(), BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), armnnTfParser::CalculatePaddedOutputTensorInfo(), armnn::CompleteLeakyReluNetwork(), Connect(), armnnTfParser::ConvertTfTensorDataType(), OnnxParser::CreateNetworkFromString(), armnn::CreateNetworkWithActivationLayer(), armnn::CreateNetworkWithFullyConnectedLayer(), armnn::CreateNetworkWithInputOutputLayers(), armnn::CreateNetworkWithSoftmaxLayer(), armnn::CreateStartOfLeakyReluNetwork(), DynamicQuantizationVisitor::DynamicQuantizationVisitor(), Deserializer::GetNetworkOutputBindingInfo(), TfLiteParser::GetOutputTensorIds(), GetSoftmaxProfilerJson(), SerializerVisitor::GetVersionTable(), armnnTfParser::OutputShapeOfExpandDims(), TfLiteParser::OutputShapeOfReshape(), armnnTfParser::OutputShapeOfSqueeze(), CaffeParserBase::ParseBatchNormLayer(), CaffeParserBase::ParseConcatLayer(), CaffeParserBase::ParseEltwiseLayer(), CaffeParserBase::ParseInnerProductLayer(), CaffeParserBase::ParseLRNLayer(), CaffeParserBase::ParsePoolingLayer(), CaffeParserBase::ParseReluLayer(), CaffeParserBase::ParseScaleLayer(), CaffeParserBase::ParseSoftmaxLayer(), armnn::PreserveTypeTestImpl(), QuantizerVisitor::QuantizerVisitor(), StaticRangeVisitor::StaticRangeVisitor(), armnn::TestQuantizeConvolution2d(), armnn::TestQuantizeDepthwiseConvolution2d(), armnn::TestQuantizeTransposeConvolution2d(), TfLiteParser::TfLiteParser(), TfParser::TfParser(), VerifyPostOptimisationStructureTestImpl(), DynamicQuantizationVisitor::VisitConcatLayer(), StaticRangeVisitor::VisitConcatLayer(), QuantizerVisitor::VisitInputLayer(), and QuantizerVisitor::VisitOutputLayer().

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 BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), TfParser::GetNetworkOutputBindingInfo(), IWorkloadFactory::IsLayerSupported(), TfLiteParser::OutputShapeOfReshape(), TfLiteParser::TfLiteParser(), CaffeParserBase::TrackBindingPoint(), CaffeParserBase::TrackInputBinding(), CaffeParserBase::TrackOutputBinding(), and SerializerVisitor::VisitQuantizedLstmLayer().

GetNumInputSlots()

virtual unsigned int GetNumInputSlots ( ) const

pure virtual

Returns the number of connectable input slots.

Implemented in Layer.

Referenced by BOOST_AUTO_TEST_CASE(), OnnxParser::CreateNetworkFromString(), DynamicQuantizationVisitor::DynamicQuantizationVisitor(), Deserializer::GetNetworkOutputBindingInfo(), TfLiteParser::GetOutputTensorIds(), SerializerVisitor::GetVersionTable(), QuantizerVisitor::QuantizerVisitor(), DynamicQuantizationVisitor::VisitConcatLayer(), and StaticRangeVisitor::VisitConcatLayer().

GetNumOutputSlots()

virtual unsigned int GetNumOutputSlots ( ) const

pure virtual

Returns the number of connectable output slots.

Implemented in Layer.

Referenced by CaffeParserBase::AddConvLayerWithSplits(), BOOST_AUTO_TEST_CASE(), OnnxParser::CreateNetworkFromString(), Deserializer::GetNetworkOutputBindingInfo(), TfLiteParser::GetOutputTensorIds(), SerializerVisitor::GetVersionTable(), TfLiteParser::OutputShapeOfReshape(), armnnTfParser::OutputShapeOfSqueeze(), and RangeTracker::SetRange().

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.

Referenced by CaffeParserBase::AddConvLayerWithSplits(), BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), armnnTfParser::CalculatePaddedOutputTensorInfo(), armnn::CompleteLeakyReluNetwork(), Connect(), armnnTfParser::ConvertTfTensorDataType(), TfLiteParser::CreateNetworkFromBinary(), OnnxParser::CreateNetworkFromString(), armnn::CreateNetworkWithActivationLayer(), armnn::CreateNetworkWithFullyConnectedLayer(), armnn::CreateNetworkWithInputOutputLayers(), armnn::CreateNetworkWithSoftmaxLayer(), armnn::CreateStartOfLeakyReluNetwork(), Deserializer::GetLstmDescriptor(), Deserializer::GetNetworkOutputBindingInfo(), Deserializer::GetNormalizationDescriptor(), armnnDeserializer::GetOriginsDescriptor(), TfLiteParser::GetOutputTensorIds(), Deserializer::GetPoolingDescriptor(), GetSoftmaxProfilerJson(), SerializerVisitor::GetVersionTable(), armnnTfParser::OutputShapeOfExpandDims(), Deserializer::OutputShapeOfReshape(), TfLiteParser::OutputShapeOfReshape(), TfLiteParser::OutputShapeOfSqueeze(), armnnTfParser::OutputShapeOfSqueeze(), CaffeParserBase::ParseBatchNormLayer(), CaffeParserBase::ParseConcatLayer(), CaffeParserBase::ParseEltwiseLayer(), CaffeParserBase::ParseInnerProductLayer(), CaffeParserBase::ParseLRNLayer(), CaffeParserBase::ParsePoolingLayer(), CaffeParserBase::ParseReluLayer(), CaffeParserBase::ParseScaleLayer(), CaffeParserBase::ParseSoftmaxLayer(), armnn::PreserveTypeTestImpl(), QuantizerVisitor::QuantizerVisitor(), armnn::TestQuantizeConvolution2d(), armnn::TestQuantizeDepthwiseConvolution2d(), armnn::TestQuantizeTransposeConvolution2d(), TfLiteParser::TfLiteParser(), TfParser::TfParser(), VerifyPostOptimisationStructureTestImpl(), InputLayerVisitor::VisitInputLayer(), QuantizerVisitor::VisitInputLayer(), armnn::VisitLayersTopologically(), and QuantizerVisitor::VisitOutputLayer().

GetOutputSlot() [2/2]

virtual IOutputSlot& GetOutputSlot ( unsigned int  index )

pure virtual

Get the output slot handle by slot index.

Implemented in Layer.

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, LstmLayer, QuantizedLstmLayer, SplitterLayer, ConcatLayer, Convolution2dLayer, DepthwiseConvolution2dLayer, FullyConnectedLayer, TransposeConvolution2dLayer, ConstantLayer, StandInLayer, BatchToSpaceNdLayer, PermuteLayer, Pooling2dLayer, ReshapeLayer, ResizeLayer, SliceLayer, StackLayer, MergeLayer, TransposeLayer, ComparisonLayer, DepthToSpaceLayer, PreluLayer, SpaceToBatchNdLayer, SpaceToDepthLayer, ArgMinMaxLayer, ElementwiseUnaryLayer, StridedSliceLayer, and ElementwiseBaseLayer.

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

• include/armnn/INetwork.hpp