From 6940dd720ebb6b3d1df8ca203ab696daefe58189 Mon Sep 17 00:00:00 2001 From: Jim Flynn Date: Fri, 20 Mar 2020 12:25:56 +0000 Subject: renamed Documentation folder 20.02 and added .nojekyll file Signed-off-by: Jim Flynn --- 20.02/classarmnn_1_1_i_connectable_layer.xhtml | 606 +++++++++++++++++++++++++ 1 file changed, 606 insertions(+) create mode 100644 20.02/classarmnn_1_1_i_connectable_layer.xhtml (limited to '20.02/classarmnn_1_1_i_connectable_layer.xhtml') diff --git a/20.02/classarmnn_1_1_i_connectable_layer.xhtml b/20.02/classarmnn_1_1_i_connectable_layer.xhtml new file mode 100644 index 0000000000..99b760df97 --- /dev/null +++ b/20.02/classarmnn_1_1_i_connectable_layer.xhtml @@ -0,0 +1,606 @@ + + + + + + + + + + + + + +ArmNN: IConnectableLayer Class Reference + + + + + + + + + + + + + + + + +
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+ + + + ArmNN + + + +
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+  20.02 +
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+Public Member Functions | +Protected Member Functions | +List of all members
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IConnectableLayer Class Referenceabstract
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+ +

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

+ +

#include <INetwork.hpp>

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+Inheritance diagram for IConnectableLayer:
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+
+ + +Layer +AbsLayer +BindableLayer +ConstantLayer +ConvertFp16ToFp32Layer +ConvertFp32ToFp16Layer +DebugLayer +DequantizeLayer +ElementwiseBaseLayer +FloorLayer +GatherLayer +LayerWithParameters< Parameters > +MemCopyLayer +MemImportLayer +MergeLayer +PreluLayer +QuantizedLstmLayer +QuantizeLayer +RsqrtLayer +SwitchLayer +LayerWithParameters< ActivationDescriptor > +LayerWithParameters< ArgMinMaxDescriptor > +LayerWithParameters< BatchNormalizationDescriptor > +LayerWithParameters< BatchToSpaceNdDescriptor > +LayerWithParameters< ComparisonDescriptor > +LayerWithParameters< Convolution2dDescriptor > +LayerWithParameters< DepthToSpaceDescriptor > +LayerWithParameters< DepthwiseConvolution2dDescriptor > +LayerWithParameters< DetectionPostProcessDescriptor > +LayerWithParameters< ElementwiseUnaryDescriptor > +LayerWithParameters< FakeQuantizationDescriptor > +LayerWithParameters< FullyConnectedDescriptor > +LayerWithParameters< InstanceNormalizationDescriptor > +LayerWithParameters< L2NormalizationDescriptor > +LayerWithParameters< LogSoftmaxDescriptor > +LayerWithParameters< LstmDescriptor > +LayerWithParameters< MeanDescriptor > +LayerWithParameters< NormalizationDescriptor > +LayerWithParameters< OriginsDescriptor > +LayerWithParameters< PadDescriptor > +LayerWithParameters< PermuteDescriptor > +LayerWithParameters< Pooling2dDescriptor > +LayerWithParameters< PreCompiledDescriptor > +LayerWithParameters< ReshapeDescriptor > +LayerWithParameters< ResizeDescriptor > +LayerWithParameters< SliceDescriptor > +LayerWithParameters< SoftmaxDescriptor > +LayerWithParameters< SpaceToBatchNdDescriptor > +LayerWithParameters< SpaceToDepthDescriptor > +LayerWithParameters< StackDescriptor > +LayerWithParameters< StandInDescriptor > +LayerWithParameters< StridedSliceDescriptor > +LayerWithParameters< TransposeConvolution2dDescriptor > +LayerWithParameters< TransposeDescriptor > +LayerWithParameters< ViewsDescriptor > + +
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+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...
 
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+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.

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Definition at line 61 of file INetwork.hpp.

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Constructor & Destructor Documentation

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◆ ~IConnectableLayer()

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~IConnectableLayer ()
+ 		+inlineprotected
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Objects are not deletable via the handle.

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Definition at line 98 of file INetwork.hpp.

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98 {}
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Member Function Documentation

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◆ Accept()

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virtual void Accept (ILayerVisitor & visitor) const
+ 		+pure virtual
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Apply a visitor to this layer.

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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.

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Referenced by armnn::BOOST_AUTO_TEST_CASE().

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◆ BackendSelectionHint()

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virtual void BackendSelectionHint (Optional< BackendId > backend)
+ 		+pure virtual
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Provide a hint for the optimizer as to which backend to prefer for this layer.

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Implemented in Layer.

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◆ GetGuid()

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virtual LayerGuid GetGuid () const
+ 		+pure virtual
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Returns the unique id of the layer.

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Implemented in Layer.

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

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◆ GetInputSlot() [1/2]

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virtual const IInputSlot& GetInputSlot (unsigned int index) const
+ 		+pure virtual
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Get a const input slot handle by slot index.

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Implemented in Layer.

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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().

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◆ GetInputSlot() [2/2]

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virtual IInputSlot& GetInputSlot (unsigned int index)
+ 		+pure virtual
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Get the input slot handle by slot index.

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Implemented in Layer.

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◆ GetName()

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virtual const char* GetName () const
+ 		+pure virtual
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Returns the name of the layer.

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Implemented in Layer.

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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().

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◆ GetNumInputSlots()

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virtual unsigned int GetNumInputSlots () const
+ 		+pure virtual
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Returns the number of connectable input slots.

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Implemented in Layer.

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

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◆ GetNumOutputSlots()

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virtual unsigned int GetNumOutputSlots () const
+ 		+pure virtual
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Returns the number of connectable output slots.

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Implemented in Layer.

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

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◆ GetOutputSlot() [1/2]

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virtual const IOutputSlot& GetOutputSlot (unsigned int index) const
+ 		+pure virtual
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Get the const output slot handle by slot index.

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Implemented in Layer.

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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().

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◆ GetOutputSlot() [2/2]

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virtual IOutputSlot& GetOutputSlot (unsigned int index)
+ 		+pure virtual
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Get the output slot handle by slot index.

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Implemented in Layer.

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◆ InferOutputShapes()

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virtual std::vector<TensorShape> InferOutputShapes (const std::vector< TensorShape > & inputShapes) const
+ 		+pure virtual
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Infer the shape of the output(s) based on the provided input shape(s)

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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: +
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+ + + + -- cgit v1.2.1