From fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf Mon Sep 17 00:00:00 2001 From: Jan Eilers Date: Thu, 25 Feb 2021 17:44:00 +0000 Subject: IVGCVSW-5687 Update Doxygen Docu * Update Doxygen Documentation for 21.02 release Signed-off-by: Jan Eilers Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5 --- 21.02/classarmnn_1_1_i_output_slot.xhtml | 493 +++++++++++++++++++++++++++++++ 1 file changed, 493 insertions(+) create mode 100644 21.02/classarmnn_1_1_i_output_slot.xhtml (limited to '21.02/classarmnn_1_1_i_output_slot.xhtml') diff --git a/21.02/classarmnn_1_1_i_output_slot.xhtml b/21.02/classarmnn_1_1_i_output_slot.xhtml new file mode 100644 index 0000000000..03e695a512 --- /dev/null +++ b/21.02/classarmnn_1_1_i_output_slot.xhtml @@ -0,0 +1,493 @@ + + + + + + + + + + + + + +ArmNN: IOutputSlot Class Reference + + + + + + + + + + + + + + + + +
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+ + + + ArmNN + + + +
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+  21.02 +
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+Public Member Functions | +Protected Member Functions | +List of all members
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IOutputSlot Class Referenceabstract
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An output connection slot for a layer. + More...

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#include <INetwork.hpp>

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+Inheritance diagram for IOutputSlot:
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+ + +OutputSlot + +
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+Public Member Functions

virtual unsigned int GetNumConnections () const =0
 
virtual const IInputSlot * GetConnection (unsigned int index) const =0
 
virtual IInputSlot * GetConnection (unsigned int index)=0
 
virtual void SetTensorInfo (const TensorInfo &tensorInfo)=0
 
virtual const TensorInfo & GetTensorInfo () const =0
 
virtual bool IsTensorInfoSet () const =0
 
virtual int Connect (IInputSlot &destination)=0
 
virtual void Disconnect (IInputSlot &slot)=0
 
virtual unsigned int CalculateIndexOnOwner () const =0
 
virtual LayerGuid GetOwningLayerGuid () const =0
 
+ + + + +

+Protected Member Functions

 ~IOutputSlot ()
 Not user deletable. More...
 
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Detailed Description

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An output connection slot for a layer.

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The output slot may be connected to 1 or more input slots of subsequent layers in the graph.

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Definition at line 38 of file INetwork.hpp.

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Constructor & Destructor Documentation

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◆ ~IOutputSlot()

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~IOutputSlot ()
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Not user deletable.

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Definition at line 58 of file INetwork.hpp.

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58 {}
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Member Function Documentation

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◆ CalculateIndexOnOwner()

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virtual unsigned int CalculateIndexOnOwner () const
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Implemented in OutputSlot.

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Referenced by DynamicQuantizationStrategy::DynamicQuantizationStrategy(), StaticRangeStrategy::ExecuteStrategy(), DynamicQuantizationStrategy::ExecuteStrategy(), and SerializerStrategy::GetVersionTable().

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◆ Connect()

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virtual int Connect (IInputSlot & destination)
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Implemented in OutputSlot.

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Referenced by ITfParser::TfParserImpl::AddActivationLayer(), ITfParser::TfParserImpl::AddAdditionLayer(), ICaffeParser::CaffeParserImpl::AddConvLayerWithDepthwiseConv(), ICaffeParser::CaffeParserImpl::AddConvLayerWithSplits(), ICaffeParser::CaffeParserImpl::AddDeconvLayerWithSplits(), ITfParser::TfParserImpl::AddMaximumLayer(), ITfParser::TfParserImpl::AddMultiplicationLayer(), ITfParser::TfParserImpl::AddRealDivLayer(), BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), armnn::CompleteLeakyReluNetwork(), armnnTfLiteParser::ComputeWrappedIndex(), Connect(), ITfParser::TfParserImpl::CreateAdditionLayer(), RecordByRecordCaffeParser::CreateNetworkFromBinaryFile(), armnn::CreateNetworkWithActivationLayer(), armnn::CreateNetworkWithArgMinMaxLayer(), armnn::CreateNetworkWithFullyConnectedLayer(), armnn::CreateNetworkWithInputOutputLayers(), armnn::CreateNetworkWithSoftmaxLayer(), armnn::CreateStartOfLeakyReluNetwork(), CreatNetwork(), armnn::CreatNetwork(), QuantizerStrategy::ExecuteStrategy(), ITfParser::GetNetworkOutputBindingInfo(), GetSoftmaxProfilerJson(), IDeserializer::DeserializerImpl::LoadGraphFromBinary(), ICaffeParser::CaffeParserImpl::LoadNetParam(), TfLiteParserImpl::OutputShapeOfReshape(), ITfParser::TfParserImpl::ParseConcat(), ICaffeParser::CaffeParserImpl::ParseConcatLayer(), ITfParser::TfParserImpl::ParseConv2D(), ICaffeParser::CaffeParserImpl::ParseConvLayer(), ICaffeParser::CaffeParserImpl::ParseDeconvLayer(), ITfParser::TfParserImpl::ParseDepthwiseConv2D(), ITfParser::TfParserImpl::ParseExpandDims(), ITfParser::TfParserImpl::ParseFusedBatchNorm(), ITfParser::TfParserImpl::ParseGather(), ITfParser::TfParserImpl::ParseLrn(), ITfParser::TfParserImpl::ParseMaximum(), ITfParser::TfParserImpl::ParseMean(), ITfParser::TfParserImpl::ParsePad(), ITfParser::TfParserImpl::ParsePooling2d(), ITfParser::TfParserImpl::ParseResizeBilinear(), ITfParser::TfParserImpl::ParseRsqrt(), ITfParser::TfParserImpl::ParseSoftmax(), ITfParser::TfParserImpl::ParseSplit(), ITfParser::TfParserImpl::ParseSqueeze(), ITfParser::TfParserImpl::ParseStack(), ITfParser::TfParserImpl::ParseStridedSlice(), ITfParser::TfParserImpl::ParseSub(), armnn::PreserveTypeTestImpl(), ITfParser::TfParserImpl::ProcessComparisonLayer(), ITfParser::TfParserImpl::ProcessElementwiseLayer(), QuantizerStrategy::QuantizerStrategy(), Graph::SubstituteSubgraph(), armnn::TestQuantizeConvolution2d(), armnn::TestQuantizeDepthwiseConvolution2d(), armnn::TestQuantizeTransposeConvolution2d(), and VerifyPostOptimisationStructureTestImpl().

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◆ Disconnect()

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virtual void Disconnect (IInputSlot & slot)
+ 		+pure virtual
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Implemented in OutputSlot.

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Referenced by Graph::SubstituteSubgraph().

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◆ GetConnection() [1/2]

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virtual const IInputSlot* GetConnection (unsigned int index) const
+ 		+pure virtual
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Implemented in OutputSlot.

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Referenced by BOOST_AUTO_TEST_CASE(), and IsConnected().

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◆ GetConnection() [2/2]

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virtual IInputSlot* GetConnection (unsigned int index)
+ 		+pure virtual
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Implemented in OutputSlot.

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◆ GetNumConnections()

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virtual unsigned int GetNumConnections () const
+ 		+pure virtual
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Implemented in OutputSlot.

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Referenced by BOOST_AUTO_TEST_CASE(), and IsConnected().

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◆ GetOwningLayerGuid()

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virtual LayerGuid GetOwningLayerGuid () const
+ 		+pure virtual
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Implemented in OutputSlot.

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Referenced by armnn::BOOST_AUTO_TEST_CASE(), DynamicQuantizationStrategy::DynamicQuantizationStrategy(), StaticRangeStrategy::ExecuteStrategy(), DynamicQuantizationStrategy::ExecuteStrategy(), SerializerStrategy::GetVersionTable(), and StaticRangeStrategy::StaticRangeStrategy().

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◆ GetTensorInfo()

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virtual const TensorInfo& GetTensorInfo () const
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Implemented in OutputSlot.

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Referenced by ITfParser::TfParserImpl::AddActivationLayer(), ITfParser::TfParserImpl::AddAdditionLayer(), ITfParser::TfParserImpl::AddMaximumLayer(), ITfParser::TfParserImpl::AddMultiplicationLayer(), ITfParser::TfParserImpl::AddRealDivLayer(), BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), ITfParser::TfParserImpl::CreateAdditionLayer(), QuantizerStrategy::ExecuteStrategy(), InputLayerStrategy::ExecuteStrategy(), Layer::GetDataType(), armnn::GetInputTensorInfo(), ITfParser::GetNetworkOutputBindingInfo(), SerializerStrategy::GetVersionTable(), IsConnected(), ITfParser::TfParserImpl::ParseConcat(), ITfParser::TfParserImpl::ParseConv2D(), ITfParser::TfParserImpl::ParseDepthwiseConv2D(), ITfParser::TfParserImpl::ParseExpandDims(), ITfParser::TfParserImpl::ParseFusedBatchNorm(), ITfParser::TfParserImpl::ParseGather(), ITfParser::TfParserImpl::ParseLrn(), ITfParser::TfParserImpl::ParseMaximum(), ITfParser::TfParserImpl::ParseMean(), ITfParser::TfParserImpl::ParsePad(), ITfParser::TfParserImpl::ParsePooling2d(), ITfParser::TfParserImpl::ParseResizeBilinear(), ITfParser::TfParserImpl::ParseRsqrt(), ITfParser::TfParserImpl::ParseShape(), ITfParser::TfParserImpl::ParseSoftmax(), ITfParser::TfParserImpl::ParseSplit(), ITfParser::TfParserImpl::ParseSqueeze(), ITfParser::TfParserImpl::ParseStack(), ITfParser::TfParserImpl::ParseStridedSlice(), ITfParser::TfParserImpl::ParseSub(), ITfParser::TfParserImpl::ProcessComparisonLayer(), ITfParser::TfParserImpl::ProcessElementwiseInputSlots(), ITfParser::TfParserImpl::ProcessElementwiseLayer(), PermuteAndBatchToSpaceAsDepthToSpaceImpl< PermuteType >::Run(), DepthwiseConvolution2dLayer::SerializeLayerParameters(), Convolution2dLayer::SerializeLayerParameters(), ElementwiseBaseLayer::ValidateTensorShapesFromInputs(), QuantizeLayer::ValidateTensorShapesFromInputs(), ActivationLayer::ValidateTensorShapesFromInputs(), ConvertFp32ToFp16Layer::ValidateTensorShapesFromInputs(), FillLayer::ValidateTensorShapesFromInputs(), ReduceLayer::ValidateTensorShapesFromInputs(), MemCopyLayer::ValidateTensorShapesFromInputs(), DequantizeLayer::ValidateTensorShapesFromInputs(), SliceLayer::ValidateTensorShapesFromInputs(), FloorLayer::ValidateTensorShapesFromInputs(), ConvertFp32ToBf16Layer::ValidateTensorShapesFromInputs(), MergeLayer::ValidateTensorShapesFromInputs(), NormalizationLayer::ValidateTensorShapesFromInputs(), ConvertFp16ToFp32Layer::ValidateTensorShapesFromInputs(), Pooling2dLayer::ValidateTensorShapesFromInputs(), MemImportLayer::ValidateTensorShapesFromInputs(), AbsLayer::ValidateTensorShapesFromInputs(), RsqrtLayer::ValidateTensorShapesFromInputs(), BatchToSpaceNdLayer::ValidateTensorShapesFromInputs(), SoftmaxLayer::ValidateTensorShapesFromInputs(), StackLayer::ValidateTensorShapesFromInputs(), InstanceNormalizationLayer::ValidateTensorShapesFromInputs(), SwitchLayer::ValidateTensorShapesFromInputs(), L2NormalizationLayer::ValidateTensorShapesFromInputs(), ConvertBf16ToFp32Layer::ValidateTensorShapesFromInputs(), DebugLayer::ValidateTensorShapesFromInputs(), FakeQuantizationLayer::ValidateTensorShapesFromInputs(), ResizeLayer::ValidateTensorShapesFromInputs(), GatherLayer::ValidateTensorShapesFromInputs(), LogSoftmaxLayer::ValidateTensorShapesFromInputs(), TransposeLayer::ValidateTensorShapesFromInputs(), PadLayer::ValidateTensorShapesFromInputs(), MeanLayer::ValidateTensorShapesFromInputs(), PermuteLayer::ValidateTensorShapesFromInputs(), ReshapeLayer::ValidateTensorShapesFromInputs(), ArgMinMaxLayer::ValidateTensorShapesFromInputs(), ElementwiseUnaryLayer::ValidateTensorShapesFromInputs(), StridedSliceLayer::ValidateTensorShapesFromInputs(), SpaceToBatchNdLayer::ValidateTensorShapesFromInputs(), TransposeConvolution2dLayer::ValidateTensorShapesFromInputs(), DepthwiseConvolution2dLayer::ValidateTensorShapesFromInputs(), DepthToSpaceLayer::ValidateTensorShapesFromInputs(), FullyConnectedLayer::ValidateTensorShapesFromInputs(), PreluLayer::ValidateTensorShapesFromInputs(), LogicalBinaryLayer::ValidateTensorShapesFromInputs(), SpaceToDepthLayer::ValidateTensorShapesFromInputs(), ComparisonLayer::ValidateTensorShapesFromInputs(), Convolution2dLayer::ValidateTensorShapesFromInputs(), BatchNormalizationLayer::ValidateTensorShapesFromInputs(), QuantizedLstmLayer::ValidateTensorShapesFromInputs(), LstmLayer::ValidateTensorShapesFromInputs(), QLstmLayer::ValidateTensorShapesFromInputs(), LayerVerifierBase::VerifyNameAndConnections(), and InputLayerVisitor::VisitInputLayer().

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◆ IsTensorInfoSet()

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virtual bool IsTensorInfoSet () const
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Implemented in OutputSlot.

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Referenced by Graph::InferTensorInfos().

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◆ SetTensorInfo()

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virtual void SetTensorInfo (const TensorInfo & tensorInfo)
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Implemented in OutputSlot.

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Referenced by ITfParser::TfParserImpl::AddActivationLayer(), ITfParser::TfParserImpl::AddAdditionLayer(), ICaffeParser::CaffeParserImpl::AddConvLayerWithSplits(), ICaffeParser::CaffeParserImpl::AddDeconvLayerWithSplits(), ITfParser::TfParserImpl::AddMaximumLayer(), ITfParser::TfParserImpl::AddMultiplicationLayer(), ITfParser::TfParserImpl::AddRealDivLayer(), BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), armnn::CompleteLeakyReluNetwork(), armnnTfLiteParser::ComputeWrappedIndex(), Connect(), ITfParser::TfParserImpl::CreateAdditionLayer(), TfLiteParserImpl::CreateNetworkFromBinary(), OnnxParserImpl::CreateNetworkFromString(), armnn::CreateNetworkWithActivationLayer(), armnn::CreateNetworkWithArgMinMaxLayer(), armnn::CreateNetworkWithFullyConnectedLayer(), armnn::CreateNetworkWithInputOutputLayers(), armnn::CreateNetworkWithSoftmaxLayer(), armnn::CreateStartOfLeakyReluNetwork(), CreatNetwork(), armnn::CreatNetwork(), QuantizerStrategy::ExecuteStrategy(), IDeserializer::DeserializerImpl::GetLstmDescriptor(), IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo(), ITfParser::GetNetworkOutputBindingInfo(), IDeserializer::DeserializerImpl::GetNormalizationDescriptor(), armnnDeserializer::GetOriginsDescriptor(), TfLiteParserImpl::GetOutputTensorIds(), IDeserializer::DeserializerImpl::GetPoolingDescriptor(), IDeserializer::DeserializerImpl::GetQLstmDescriptor(), GetSoftmaxProfilerJson(), IDeserializer::DeserializerImpl::OutputShapeOfReshape(), TfLiteParserImpl::OutputShapeOfReshape(), TfLiteParserImpl::OutputShapeOfSqueeze(), ICaffeParser::CaffeParserImpl::ParseArgmaxLayer(), ICaffeParser::CaffeParserImpl::ParseBatchNormLayer(), ITfParser::TfParserImpl::ParseConcat(), ICaffeParser::CaffeParserImpl::ParseConcatLayer(), ITfParser::TfParserImpl::ParseConv2D(), ITfParser::TfParserImpl::ParseDepthwiseConv2D(), ICaffeParser::CaffeParserImpl::ParseEltwiseLayer(), ITfParser::TfParserImpl::ParseExpandDims(), ITfParser::TfParserImpl::ParseFusedBatchNorm(), ICaffeParser::CaffeParserImpl::ParseInnerProductLayer(), ITfParser::TfParserImpl::ParseLrn(), ICaffeParser::CaffeParserImpl::ParseLRNLayer(), ITfParser::TfParserImpl::ParseMaximum(), ITfParser::TfParserImpl::ParseMean(), ITfParser::TfParserImpl::ParsePad(), ITfParser::TfParserImpl::ParsePlaceholder(), ITfParser::TfParserImpl::ParsePooling2d(), ICaffeParser::CaffeParserImpl::ParsePoolingLayer(), ICaffeParser::CaffeParserImpl::ParseReluLayer(), ITfParser::TfParserImpl::ParseReshape(), ITfParser::TfParserImpl::ParseResizeBilinear(), ITfParser::TfParserImpl::ParseRsqrt(), ICaffeParser::CaffeParserImpl::ParseScaleLayer(), ITfParser::TfParserImpl::ParseSoftmax(), ICaffeParser::CaffeParserImpl::ParseSoftmaxLayer(), ITfParser::TfParserImpl::ParseSplit(), ITfParser::TfParserImpl::ParseSqueeze(), ITfParser::TfParserImpl::ParseStack(), ITfParser::TfParserImpl::ParseStridedSlice(), ITfParser::TfParserImpl::ParseSub(), armnn::PreserveTypeTestImpl(), ITfParser::TfParserImpl::ProcessComparisonLayer(), ITfParser::TfParserImpl::ProcessElementwiseLayer(), QuantizerStrategy::QuantizerStrategy(), armnn::TestQuantizeConvolution2d(), armnn::TestQuantizeDepthwiseConvolution2d(), armnn::TestQuantizeTransposeConvolution2d(), and VerifyPostOptimisationStructureTestImpl().

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The documentation for this class was generated from the following file: +
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+ + + + -- cgit v1.2.1