Private implementation of INetwork. More...

#include <Network.hpp>

Inheritance diagram for Network:

Public Member Functions
	Network ()

	~Network ()

const Graph &	GetGraph () const

Status	PrintGraph () override

profiling::ProfilingGuid	GetGuid () const final

IConnectableLayer *	AddInputLayer (LayerBindingId id, const char *name=nullptr) override
	Adds an input layer to the network. More...

IConnectableLayer *	AddArgMinMaxLayer (const ArgMinMaxDescriptor &desc, const char *name=nullptr) override
	Adds an ArgMinMax layer to the network. More...

IConnectableLayer *	AddBatchToSpaceNdLayer (const BatchToSpaceNdDescriptor &batchToSpaceNdDescriptor, const char *name=nullptr) override
	Adds a batch to space ND layer to the network. More...

IConnectableLayer *	AddComparisonLayer (const ComparisonDescriptor &comparisonDescriptor, const char *name=nullptr) override
	Add a Comparison layer to the network. More...

IConnectableLayer *	AddConcatLayer (const ConcatDescriptor &concatDescriptor, const char *name=nullptr) override
	Adds a concatenation layer to the network. More...

IConnectableLayer *	AddConvolution2dLayer (const Convolution2dDescriptor &convolution2dDescriptor, const ConstTensor &weights, const Optional< ConstTensor > &biases, const char *name=nullptr) override
	Adds a 2D convolution layer to the network. More...

IConnectableLayer *	AddConvolution2dLayer (const Convolution2dDescriptor &convolution2dDescriptor, const ConstTensor &weights, const char *name=nullptr) override

IConnectableLayer *	AddConvolution2dLayer (const Convolution2dDescriptor &convolution2dDescriptor, const ConstTensor &weights, const ConstTensor &biases, const char *name=nullptr) override

IConnectableLayer *	AddDepthToSpaceLayer (const DepthToSpaceDescriptor &depthToSpaceDescriptor, const char *name=nullptr) override
	Adds a depth to space layer to the network. More...

IConnectableLayer *	AddDepthwiseConvolution2dLayer (const DepthwiseConvolution2dDescriptor &convolution2dDescriptor, const ConstTensor &weights, const Optional< ConstTensor > &biases, const char *name=nullptr) override
	Adds a 2D depthwise convolution layer to the network. More...

IConnectableLayer *	AddDepthwiseConvolution2dLayer (const DepthwiseConvolution2dDescriptor &convolution2dDescriptor, const ConstTensor &weights, const char *name=nullptr) override

IConnectableLayer *	AddDepthwiseConvolution2dLayer (const DepthwiseConvolution2dDescriptor &convolution2dDescriptor, const ConstTensor &weights, const ConstTensor &biases, const char *name=nullptr) override

IConnectableLayer *	AddDequantizeLayer (const char *name=nullptr) override
	Adds a Dequantize layer to the network. More...

IConnectableLayer *	AddDetectionPostProcessLayer (const DetectionPostProcessDescriptor &descriptor, const ConstTensor &anchors, const char *name=nullptr) override
	Adds a Detection PostProcess layer to the network. More...

IConnectableLayer *	AddElementwiseUnaryLayer (const ElementwiseUnaryDescriptor &elementwiseUnaryDescriptor, const char *name=nullptr) override
	Add an ElementwiseUnary layer to the network. More...

IConnectableLayer *	AddFullyConnectedLayer (const FullyConnectedDescriptor &fullyConnectedDescriptor, const ConstTensor &weights, const Optional< ConstTensor > &biases, const char *name=nullptr) override
	Adds a fully connected layer to the network. More...

IConnectableLayer *	AddFullyConnectedLayer (const FullyConnectedDescriptor &fullyConnectedDescriptor, const ConstTensor &weights, const char *name=nullptr) override

IConnectableLayer *	AddFullyConnectedLayer (const FullyConnectedDescriptor &fullyConnectedDescriptor, const ConstTensor &weights, const ConstTensor &biases, const char *name=nullptr) override

IConnectableLayer *	AddGatherLayer (const char *name=nullptr) override
	Add Gather layer to the network. More...

IConnectableLayer *	AddPermuteLayer (const PermuteDescriptor &permuteDescriptor, const char *name=nullptr) override
	Adds a permute layer to the network. More...

IConnectableLayer *	AddPooling2dLayer (const Pooling2dDescriptor &pooling2dDescriptor, const char *name=nullptr) override
	Adds a pooling layer to the network. More...

IConnectableLayer *	AddActivationLayer (const ActivationDescriptor &activationDescriptor, const char *name=nullptr) override
	Adds an activation layer to the network. More...

IConnectableLayer *	AddNormalizationLayer (const NormalizationDescriptor &normalizationDescriptor, const char *name=nullptr) override
	Adds a normalization layer to the network. More...

IConnectableLayer *	AddSliceLayer (const SliceDescriptor &sliceDescriptor, const char *name=nullptr) override
	Adds a slice layer to the network. More...

IConnectableLayer *	AddSoftmaxLayer (const SoftmaxDescriptor &softmaxDescriptor, const char *name=nullptr) override
	Adds a softmax layer to the network. More...

IConnectableLayer *	AddSplitterLayer (const ViewsDescriptor &splitterDescriptor, const char *name=nullptr) override
	Adds a splitter layer to the network. More...

IConnectableLayer *	AddMergerLayer (const MergerDescriptor &mergerDescriptor, const char *name=nullptr) override
	Adds a concat layer to the network. More...

IConnectableLayer *	AddAbsLayer (const char *name=nullptr) override
	Add absolute layer to the network. More...

IConnectableLayer *	AddAdditionLayer (const char *name=nullptr) override
	Adds an addition layer to the network. More...

IConnectableLayer *	AddMultiplicationLayer (const char *name=nullptr) override
	Adds a multiplication layer to the network. More...

IConnectableLayer *	AddBatchNormalizationLayer (const BatchNormalizationDescriptor &desc, const ConstTensor &mean, const ConstTensor &variance, const ConstTensor &beta, const ConstTensor &gamma, const char *name=nullptr) override
	Adds a batch normalization layer to the network. More...

IConnectableLayer *	AddResizeBilinearLayer (const ResizeBilinearDescriptor &resizeDesc, const char *name=nullptr) override
	Adds a resize bilinear layer to the network. More...

IConnectableLayer *	AddResizeLayer (const ResizeDescriptor &resizeDescriptor, const char *name=nullptr) override
	Adds a resize layer to the network. More...

IConnectableLayer *	AddInstanceNormalizationLayer (const InstanceNormalizationDescriptor &desc, const char *name=nullptr) override
	Adds an instance normalization layer to the network. More...

IConnectableLayer *	AddL2NormalizationLayer (const L2NormalizationDescriptor &desc, const char *name=nullptr) override
	Adds an L2 normalization layer to the network. More...

IConnectableLayer *	AddLogSoftmaxLayer (const LogSoftmaxDescriptor &logSoftmaxDescriptor, const char *name=nullptr) override
	Adds a log softmax layer to the network. More...

IConnectableLayer *	AddConstantLayer (const ConstTensor &input, const char *name=nullptr) override
	Adds a layer with no inputs and a single output, which always corresponds to the passed in constant tensor. More...

IConnectableLayer *	AddReshapeLayer (const ReshapeDescriptor &reshapeDescriptor, const char *name=nullptr) override
	Adds a reshape layer to the network. More...

IConnectableLayer *	AddSpaceToBatchNdLayer (const SpaceToBatchNdDescriptor &spaceToBatchNdDescriptor, const char *name=nullptr) override
	Adds a space to batch layer to the network. More...

IConnectableLayer *	AddSpaceToDepthLayer (const SpaceToDepthDescriptor &spaceToDepthDescriptor, const char *name=nullptr) override
	Adds a space to depth layer to the network. More...

IConnectableLayer *	AddFloorLayer (const char *name=nullptr) override
	Adds a floor layer to the network. More...

IConnectableLayer *	AddOutputLayer (LayerBindingId id, const char *name=nullptr) override
	Adds an output layer to the network. More...

IConnectableLayer *	AddLstmLayer (const LstmDescriptor &descriptor, const LstmInputParams &params, const char *name=nullptr) override
	Add a Lstm layer to the network. More...

IConnectableLayer *	AddDivisionLayer (const char *name=nullptr) override
	Adds a division layer to the network. More...

IConnectableLayer *	AddSubtractionLayer (const char *name=nullptr) override
	Adds a subtraction layer to the network. More...

IConnectableLayer *	AddMaximumLayer (const char *name=nullptr) override
	Add a Maximum layer to the network. More...

IConnectableLayer *	AddMeanLayer (const MeanDescriptor &meanDescriptor, const char *name=nullptr) override
	Add a Mean layer to the network. More...

IConnectableLayer *	AddPadLayer (const PadDescriptor &padDescriptor, const char *name=nullptr) override
	Adds a fully pad layer to the network. More...

IConnectableLayer *	AddQuantizeLayer (const char *name=nullptr) override
	Add a quantize layer to the network. More...

IConnectableLayer *	AddStridedSliceLayer (const StridedSliceDescriptor &stridedSliceDescriptor, const char *name=nullptr) override
	Adds a strided slice layer to the network. More...

IConnectableLayer *	AddMinimumLayer (const char *name=nullptr) override
	Add a Minimum layer to the network. More...

IConnectableLayer *	AddGreaterLayer (const char *name=nullptr) override
	Add a Greater layer to the network. More...

IConnectableLayer *	AddEqualLayer (const char *name=nullptr) override
	Add a Equal layer to the network. More...

IConnectableLayer *	AddRsqrtLayer (const char *name=nullptr) override
	Add Reciprocal of square root layer to the network. More...

IConnectableLayer *	AddMergeLayer (const char *name=nullptr) override
	Adds a merge layer to the network. More...

IConnectableLayer *	AddSwitchLayer (const char *name=nullptr) override
	Adds a switch layer to the network. More...

IConnectableLayer *	AddPreluLayer (const char *name=nullptr) override
	Adds a PReLU layer to the network. More...

IConnectableLayer *	AddTransposeConvolution2dLayer (const TransposeConvolution2dDescriptor &descriptor, const ConstTensor &weights, const Optional< ConstTensor > &biases, const char *name=nullptr) override
	Adds a 2D transpose convolution layer to the network. More...

IConnectableLayer *	AddTransposeLayer (const TransposeDescriptor &transposeDescriptor, const char *name=nullptr) override
	Adds a transpose layer to the network. More...

IConnectableLayer *	AddStackLayer (const StackDescriptor &stackDescriptor, const char *name=nullptr) override
	Adds a stack layer to the network. More...

IConnectableLayer *	AddStandInLayer (const StandInDescriptor &descriptor, const char *name=nullptr) override
	Add a stand-in layer for a type unknown to the Arm NN framework. More...

IConnectableLayer *	AddQuantizedLstmLayer (const QuantizedLstmInputParams &params, const char *name=nullptr) override
	Add a QuantizedLstm layer to the network. More...

void	Accept (ILayerVisitor &visitor) const override

Additional Inherited Members
Static Public Member Functions inherited from INetwork
static INetwork *	CreateRaw ()

static INetworkPtr	Create ()

static void	Destroy (INetwork *network)

Protected Member Functions inherited from INetwork
	~INetwork ()

Detailed Description

Private implementation of INetwork.

Definition at line 28 of file Network.hpp.

Constructor & Destructor Documentation

◆ Network()

Network ( )

Definition at line 1025 of file Network.cpp.

 : m_Graph(std::make_unique<Graph>()),
   m_Guid(profiling::ProfilingService::Instance().NextGuid())
 {
 }

◆ ~Network()

~Network ( )

Definition at line 1031 of file Network.cpp.

1032 {

1033 }

Member Function Documentation

◆ Accept()

void Accept ( ILayerVisitor & visitor ) const

overridevirtual

Implements INetwork.

Definition at line 1674 of file Network.cpp.

References Network::GetGraph().

Referenced by Network::GetGuid().

 {
     for (auto layer : GetGraph())
     {
         layer->Accept(visitor);
     };
 }

◆ AddAbsLayer()

IConnectableLayer * AddAbsLayer ( const char * name = nullptr )

overridevirtual

Add absolute layer to the network.

Parameters

name	- Optional name for the layer. @ return - Interface for configuring the layer.

Implements INetwork.

Definition at line 1295 of file Network.cpp.

References armnn::Abs, and Network::AddElementwiseUnaryLayer().

Referenced by Network::GetGuid().

 {
     return AddElementwiseUnaryLayer(ElementwiseUnaryDescriptor(UnaryOperation::Abs), name);
 }

◆ AddActivationLayer()

IConnectableLayer * AddActivationLayer	(	const ActivationDescriptor &	activationDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds an activation layer to the network.

Parameters

activationDescriptor	- ActivationDescriptor to configure the activation.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1243 of file Network.cpp.

Referenced by BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     return m_Graph->AddLayer<ActivationLayer>(activationDescriptor, name);
 }

◆ AddAdditionLayer()

IConnectableLayer * AddAdditionLayer ( const char * name = nullptr )

overridevirtual

Adds an addition layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1300 of file Network.cpp.

Referenced by BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     return m_Graph->AddLayer<AdditionLayer>(name);
 }

◆ AddArgMinMaxLayer()

IConnectableLayer * AddArgMinMaxLayer	(	const ArgMinMaxDescriptor &	desc,
		const char *	name = `nullptr`
	)

overridevirtual

Adds an ArgMinMax layer to the network.

Parameters

desc	- Parameters for the L2 normalization operation.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1249 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<ArgMinMaxLayer>(argMinMaxDescriptor, name);
 }

◆ AddBatchNormalizationLayer()

IConnectableLayer * AddBatchNormalizationLayer	(	const BatchNormalizationDescriptor &	desc,
		const ConstTensor &	mean,
		const ConstTensor &	variance,
		const ConstTensor &	beta,
		const ConstTensor &	gamma,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a batch normalization layer to the network.

Parameters

mean	- Pre-calculated mean for each channel.
variance	- Pre-calculated variance for each channel.
beta	- Per-channel additive factor.
gamma	- Per-channel multiplicative factor.

Returns: - Interface for configuring the layer.

Parameters

name	- Optional name for the layer.

Implements INetwork.

Definition at line 1315 of file Network.cpp.

References BatchNormalizationLayer::m_Mean.

Referenced by BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     const auto layer = m_Graph->AddLayer<BatchNormalizationLayer>(desc, name);
 
     layer->m_Mean = std::make_unique<ScopedCpuTensorHandle>(mean);
     layer->m_Variance = std::make_unique<ScopedCpuTensorHandle>(variance);
     layer->m_Beta = std::make_unique<ScopedCpuTensorHandle>(beta);
     layer->m_Gamma = std::make_unique<ScopedCpuTensorHandle>(gamma);
 
     return layer;
 }

◆ AddBatchToSpaceNdLayer()

IConnectableLayer * AddBatchToSpaceNdLayer	(	const BatchToSpaceNdDescriptor &	batchToSpaceNdDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a batch to space ND layer to the network.

Parameters

batchToSpaceNdDescriptor	- Description of the layer.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1046 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<BatchToSpaceNdLayer>(batchToSpaceNdDescriptor, name);
 }

◆ AddComparisonLayer()

IConnectableLayer * AddComparisonLayer	(	const ComparisonDescriptor &	comparisonDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Add a Comparison layer to the network.

Parameters

name	- Optional name for the layer.
desc	- Descriptor for the comparison operation. @ return - Interface for configuring the layer.

Implements INetwork.

Definition at line 1052 of file Network.cpp.

Referenced by Network::AddEqualLayer(), Network::AddGreaterLayer(), and Network::GetGuid().

 {
     return m_Graph->AddLayer<ComparisonLayer>(comparisonDescriptor, name);
 }

◆ AddConcatLayer()

IConnectableLayer * AddConcatLayer	(	const ConcatDescriptor &	concatDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a concatenation layer to the network.

Parameters

concatDescriptor	- ConcatDescriptor (synonym for OriginsDescriptor) to configure the concatenation process. Number of Views must be equal to the number of inputs, and their order must match - e.g. first view corresponds to the first input, second view to the second input, etc....
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1111 of file Network.cpp.

References OptionalBase::has_value(), Convolution2dDescriptor::m_BiasEnabled, Convolution2dLayer::m_Weight, and OptionalReferenceSwitch< std::is_reference< T >::value, T >::value().

Referenced by Network::AddMergerLayer(), BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     return m_Graph->AddLayer<ConcatLayer>(concatDescriptor, name);
 }

◆ AddConstantLayer()

IConnectableLayer * AddConstantLayer	(	const ConstTensor &	input,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a layer with no inputs and a single output, which always corresponds to the passed in constant tensor.

Parameters

input	- Tensor to be provided as the only output of the layer. The layer will maintain its own copy of the tensor data, meaning the memory referenced by input can be freed or reused after this function is called.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1368 of file Network.cpp.

References ConstantLayer::m_LayerOutput.

Referenced by armnn::BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     auto layer = m_Graph->AddLayer<ConstantLayer>(name);
 
     layer->m_LayerOutput = std::make_unique<ScopedCpuTensorHandle>(input);
 
     return layer;
 }

◆ AddConvolution2dLayer() [1/3]

IConnectableLayer * AddConvolution2dLayer	(	const Convolution2dDescriptor &	convolution2dDescriptor,
		const ConstTensor &	weights,
		const Optional< ConstTensor > &	biases,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a 2D convolution layer to the network.

Parameters

convolution2dDescriptor	- Description of the 2D convolution layer.
weights	- Tensor for the weights data.
biases	- Optional tensor for the bias data. If specified, must match the output tensor shape.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1139 of file Network.cpp.

Referenced by BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     return AddConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name);
 }

◆ AddConvolution2dLayer() [2/3]

IConnectableLayer * AddConvolution2dLayer	(	const Convolution2dDescriptor &	convolution2dDescriptor,
		const ConstTensor &	weights,
		const char *	name = `nullptr`
	)

overridevirtual

Implements INetwork.

Definition at line 1147 of file Network.cpp.

 {
     Optional<ConstTensor> biases;
     return AddConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name);
 }

◆ AddConvolution2dLayer() [3/3]

IConnectableLayer * AddConvolution2dLayer	(	const Convolution2dDescriptor &	convolution2dDescriptor,
		const ConstTensor &	weights,
		const ConstTensor &	biases,
		const char *	name = `nullptr`
	)

overridevirtual

Implements INetwork.

Definition at line 1155 of file Network.cpp.

References OptionalBase::has_value(), DepthwiseConvolution2dDescriptor::m_BiasEnabled, DepthwiseConvolution2dLayer::m_Weight, and OptionalReferenceSwitch< std::is_reference< T >::value, T >::value().

 {
     Optional<ConstTensor> optionalBiases(biases);
     return AddConvolution2dLayerImpl(convolution2dDescriptor, weights, optionalBiases, name);
 }

◆ AddDepthToSpaceLayer()

IConnectableLayer * AddDepthToSpaceLayer	(	const DepthToSpaceDescriptor &	depthToSpaceDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a depth to space layer to the network.

Parameters

depthToSpaceDescriptor	- Parameters for the depth to space operation.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1187 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<DepthToSpaceLayer>(depthToSpaceDescriptor, name);
 }

◆ AddDepthwiseConvolution2dLayer() [1/3]

IConnectableLayer * AddDepthwiseConvolution2dLayer	(	const DepthwiseConvolution2dDescriptor &	convolution2dDescriptor,
		const ConstTensor &	weights,
		const Optional< ConstTensor > &	biases,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a 2D depthwise convolution layer to the network.

Parameters

convolution2dDescriptor	- Description of the 2D depthwise convolution layer.
weights	- Tensor for the weights. Expected format: [channelMultiplier, inputChannels, height, width].
biases	Optional tensor for the bias data. If specified, must match the output tensor shape.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1193 of file Network.cpp.

Referenced by armnn::BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     return AddDepthwiseConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name);
 }

◆ AddDepthwiseConvolution2dLayer() [2/3]

IConnectableLayer * AddDepthwiseConvolution2dLayer	(	const DepthwiseConvolution2dDescriptor &	convolution2dDescriptor,
		const ConstTensor &	weights,
		const char *	name = `nullptr`
	)

overridevirtual

Implements INetwork.

Definition at line 1202 of file Network.cpp.

 {
     Optional<ConstTensor> biases;
     return AddDepthwiseConvolution2dLayerImpl(convolution2dDescriptor, weights, biases, name);
 }

◆ AddDepthwiseConvolution2dLayer() [3/3]

IConnectableLayer * AddDepthwiseConvolution2dLayer	(	const DepthwiseConvolution2dDescriptor &	convolution2dDescriptor,
		const ConstTensor &	weights,
		const ConstTensor &	biases,
		const char *	name = `nullptr`
	)

overridevirtual

Implements INetwork.

Definition at line 1211 of file Network.cpp.

 {
     Optional<ConstTensor> optionalBiases(biases);
     return AddDepthwiseConvolution2dLayerImpl(convolution2dDescriptor, weights, optionalBiases, name);
 }

◆ AddDequantizeLayer()

IConnectableLayer * AddDequantizeLayer ( const char * name = nullptr )

overridevirtual

Adds a Dequantize layer to the network.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1549 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<DequantizeLayer>(name);
 }

◆ AddDetectionPostProcessLayer()

IConnectableLayer * AddDetectionPostProcessLayer	(	const DetectionPostProcessDescriptor &	descriptor,
		const ConstTensor &	anchors,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a Detection PostProcess layer to the network.

Parameters

descriptor	- Description of the Detection PostProcess layer.
anchors	- Tensor for anchors.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1221 of file Network.cpp.

References anchors(), and DetectionPostProcessLayer::m_Anchors.

Referenced by Network::GetGuid().

 {
     const auto layer = m_Graph->AddLayer<DetectionPostProcessLayer>(descriptor, name);
 
     layer->m_Anchors = std::make_unique<ScopedCpuTensorHandle>(anchors);
 
     return layer;
 }

◆ AddDivisionLayer()

IConnectableLayer * AddDivisionLayer ( const char * name = nullptr )

overridevirtual

Adds a division layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1524 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<DivisionLayer>(name);
 }

◆ AddElementwiseUnaryLayer()

IConnectableLayer * AddElementwiseUnaryLayer	(	const ElementwiseUnaryDescriptor &	elementwiseUnaryDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Add an ElementwiseUnary layer to the network.

Parameters

name	- Optional name for the layer.
desc	- Descriptor for the elementwiseUnary operation. @ return - Interface for configuring the layer.

Implements INetwork.

Definition at line 1058 of file Network.cpp.

References OptionalBase::has_value(), FullyConnectedDescriptor::m_BiasEnabled, FullyConnectedLayer::m_Weight, and OptionalReferenceSwitch< std::is_reference< T >::value, T >::value().

Referenced by Network::AddAbsLayer(), Network::AddRsqrtLayer(), and Network::GetGuid().

 {
     return m_Graph->AddLayer<ElementwiseUnaryLayer>(elementwiseUnaryDescriptor, name);
 }

◆ AddEqualLayer()

IConnectableLayer * AddEqualLayer ( const char * name = nullptr )

overridevirtual

Add a Equal layer to the network.

Parameters

name	- Optional name for the layer. @ return - Interface for configuring the layer.

Implements INetwork.

Definition at line 1565 of file Network.cpp.

References Network::AddComparisonLayer(), and armnn::Equal.

Referenced by Network::GetGuid().

 {
     return AddComparisonLayer(ComparisonDescriptor(ComparisonOperation::Equal), name);
 }

◆ AddFloorLayer()

IConnectableLayer * AddFloorLayer ( const char * name = nullptr )

overridevirtual

Adds a floor layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1395 of file Network.cpp.

Referenced by BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     return m_Graph->AddLayer<FloorLayer>(name);
 }

◆ AddFullyConnectedLayer() [1/3]

IConnectableLayer * AddFullyConnectedLayer	(	const FullyConnectedDescriptor &	fullyConnectedDescriptor,
		const ConstTensor &	weights,
		const Optional< ConstTensor > &	biases,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a fully connected layer to the network.

Parameters

fullyConnectedDescriptor	- Description of the fully connected layer.
weights	- Tensor for the weights data.
biases	- Optional tensor for the bias data.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1086 of file Network.cpp.

Referenced by BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     return AddFullyConnectedLayerImpl(fullyConnectedDescriptor, weights, biases, name);
 }

◆ AddFullyConnectedLayer() [2/3]

IConnectableLayer * AddFullyConnectedLayer	(	const FullyConnectedDescriptor &	fullyConnectedDescriptor,
		const ConstTensor &	weights,
		const char *	name = `nullptr`
	)

overridevirtual

Implements INetwork.

Definition at line 1094 of file Network.cpp.

 {
     Optional<ConstTensor> biases;
     return AddFullyConnectedLayerImpl(fullyConnectedDescriptor, weights, biases, name);
 }

◆ AddFullyConnectedLayer() [3/3]

IConnectableLayer * AddFullyConnectedLayer	(	const FullyConnectedDescriptor &	fullyConnectedDescriptor,
		const ConstTensor &	weights,
		const ConstTensor &	biases,
		const char *	name = `nullptr`
	)

overridevirtual

Implements INetwork.

Definition at line 1102 of file Network.cpp.

 {
     Optional<ConstTensor> optionalBiases(biases);
     return AddFullyConnectedLayerImpl(fullyConnectedDescriptor, weights, optionalBiases, name);
 }

◆ AddGatherLayer()

IConnectableLayer * AddGatherLayer ( const char * name = nullptr )

overridevirtual

Add Gather layer to the network.

Parameters

name	- Optional name for the layer. @ return - Interface for configuring the layer.

Implements INetwork.

Definition at line 1575 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<GatherLayer>(name);
 }

◆ AddGreaterLayer()

IConnectableLayer * AddGreaterLayer ( const char * name = nullptr )

overridevirtual

Add a Greater layer to the network.

Parameters

name	- Optional name for the layer. @ return - Interface for configuring the layer.

Implements INetwork.

Definition at line 1560 of file Network.cpp.

References Network::AddComparisonLayer(), and armnn::Greater.

Referenced by Network::GetGuid().

 {
     return AddComparisonLayer(ComparisonDescriptor(ComparisonOperation::Greater), name);
 }

◆ AddInputLayer()

IConnectableLayer * AddInputLayer	(	LayerBindingId	id,
		const char *	name = `nullptr`
	)

overridevirtual

Adds an input layer to the network.

Parameters

id	- User generated id to uniquely identify a particular input. The same id needs to be specified. when passing the inputs to the IRuntime::EnqueueWorkload() function.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1041 of file Network.cpp.

Referenced by BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     return m_Graph->AddLayer<InputLayer>(id, name);
 }

◆ AddInstanceNormalizationLayer()

IConnectableLayer * AddInstanceNormalizationLayer	(	const InstanceNormalizationDescriptor &	desc,
		const char *	name = `nullptr`
	)

overridevirtual

Adds an instance normalization layer to the network.

Parameters

desc	- Parameters for the instance normalization operation.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1350 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<InstanceNormalizationLayer>(desc, name);
 }

◆ AddL2NormalizationLayer()

IConnectableLayer * AddL2NormalizationLayer	(	const L2NormalizationDescriptor &	desc,
		const char *	name = `nullptr`
	)

overridevirtual

Adds an L2 normalization layer to the network.

Normalization is performed along dimension 1, but requires a 4d input.

Parameters

desc	- Parameters for the L2 normalization operation.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1356 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<L2NormalizationLayer>(desc, name);
 }

◆ AddLogSoftmaxLayer()

IConnectableLayer * AddLogSoftmaxLayer	(	const LogSoftmaxDescriptor &	logSoftmaxDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a log softmax layer to the network.

Parameters

logSoftmaxDescriptor	- LogSoftmaxDescriptor to configure the log softmax.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1362 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<LogSoftmaxLayer>(desc, name);
 }

◆ AddLstmLayer()

IConnectableLayer * AddLstmLayer	(	const LstmDescriptor &	descriptor,
		const LstmInputParams &	params,
		const char *	name = `nullptr`
	)

overridevirtual

Add a Lstm layer to the network.

Parameters

descriptor	- Parameters for the Lstm operation
params	- Weights and biases for the LSTM cell
name	- Optional name for the layer

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1400 of file Network.cpp.

Referenced by armnn::BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     const auto layer = m_Graph->AddLayer<LstmLayer>(descriptor, name);
 
     //Lstm Basic Parameters
     layer->m_BasicParameters.m_InputToForgetWeights =
         std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputToForgetWeights));
     layer->m_BasicParameters.m_InputToCellWeights =
         std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputToCellWeights));
     layer->m_BasicParameters.m_InputToOutputWeights =
         std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputToOutputWeights));
     layer->m_BasicParameters.m_RecurrentToForgetWeights =
         std::make_unique<ScopedCpuTensorHandle>(*(params.m_RecurrentToForgetWeights));
     layer->m_BasicParameters.m_RecurrentToCellWeights =
         std::make_unique<ScopedCpuTensorHandle>(*(params.m_RecurrentToCellWeights));
     layer->m_BasicParameters.m_RecurrentToOutputWeights =
         std::make_unique<ScopedCpuTensorHandle>(*(params.m_RecurrentToOutputWeights));
     layer->m_BasicParameters.m_ForgetGateBias =
             std::make_unique<ScopedCpuTensorHandle>(*(params.m_ForgetGateBias));
     layer->m_BasicParameters.m_CellBias =
             std::make_unique<ScopedCpuTensorHandle>(*(params.m_CellBias));
     layer->m_BasicParameters.m_OutputGateBias =
             std::make_unique<ScopedCpuTensorHandle>(*(params.m_OutputGateBias));
 
     //Lstm Cifg parameters
     if(!descriptor.m_CifgEnabled)
     {
         if(params.m_InputToInputWeights == nullptr)
         {
             throw InvalidArgumentException("AddLstmLayer: Input To Input Weights cannot be NULL");
         }
         if(params.m_RecurrentToInputWeights == nullptr)
         {
             throw InvalidArgumentException(
                     "AddLstmLayer: Recurrent To Input Weights cannot be NULL");
         }
         if(params.m_InputGateBias == nullptr)
         {
             throw InvalidArgumentException("AddLstmLayer: Input Gate Bias cannot be NULL");
         }
         layer->m_CifgParameters.m_InputToInputWeights =
             std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputToInputWeights));
         layer->m_CifgParameters.m_RecurrentToInputWeights =
             std::make_unique<ScopedCpuTensorHandle>(*(params.m_RecurrentToInputWeights));
         // In the VTS tests, cell-to-input weights may be null, even if the other CIFG params are not.
         if(params.m_CellToInputWeights != nullptr)
         {
             layer->m_CifgParameters.m_CellToInputWeights =
                     std::make_unique<ScopedCpuTensorHandle>(*(params.m_CellToInputWeights));
         }
         layer->m_CifgParameters.m_InputGateBias =
             std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputGateBias));
     }
 
     //Lstm projection parameters
     if(descriptor.m_ProjectionEnabled)
     {
         if(params.m_ProjectionWeights == nullptr)
         {
             throw InvalidArgumentException("AddLstmLayer: Projection Weights cannot be NULL");
         }
         layer->m_ProjectionParameters.m_ProjectionWeights =
             std::make_unique<ScopedCpuTensorHandle>(*(params.m_ProjectionWeights));
         if(params.m_ProjectionBias != nullptr)
         {
             layer->m_ProjectionParameters.m_ProjectionBias =
                 std::make_unique<ScopedCpuTensorHandle>(*(params.m_ProjectionBias));
         }
     }
 
     //Lstm Peephole params
     if(descriptor.m_PeepholeEnabled)
     {
         if(params.m_CellToForgetWeights == nullptr)
         {
             throw InvalidArgumentException("AddLstmLayer: Cell To Forget Weights cannot be NULL");
         }
         if(params.m_CellToOutputWeights == nullptr)
         {
             throw InvalidArgumentException("AddLstmLayer: Cell To Output Weights cannot be NULL");
         }
         layer->m_PeepholeParameters.m_CellToForgetWeights =
             std::make_unique<ScopedCpuTensorHandle>(*(params.m_CellToForgetWeights));
         layer->m_PeepholeParameters.m_CellToOutputWeights =
             std::make_unique<ScopedCpuTensorHandle>(*(params.m_CellToOutputWeights));
     }
 
     //Lstm Layer Normalization params
     if(descriptor.m_LayerNormEnabled)
     {
         if(!descriptor.m_CifgEnabled)
         {
             if(params.m_InputLayerNormWeights == nullptr)
             {
                 throw InvalidArgumentException("AddLstmLayer: Input layer normalization weights cannot be NULL");
             }
             layer->m_LayerNormParameters.m_InputLayerNormWeights =
                     std::make_unique<ScopedCpuTensorHandle>(*(params.m_InputLayerNormWeights));
         }
 
         if(params.m_ForgetLayerNormWeights == nullptr)
         {
             throw InvalidArgumentException("AddLstmLayer: Forget layer normalization weights cannot be NULL");
         }
         if(params.m_CellLayerNormWeights == nullptr)
         {
             throw InvalidArgumentException("AddLstmLayer: Cell layer normalization weights cannot be NULL");
         }
         if(params.m_OutputLayerNormWeights == nullptr)
         {
             throw InvalidArgumentException("AddLstmLayer: Output layer normalization weights cannot be NULL");
         }
         layer->m_LayerNormParameters.m_ForgetLayerNormWeights =
                 std::make_unique<ScopedCpuTensorHandle>(*(params.m_ForgetLayerNormWeights));
         layer->m_LayerNormParameters.m_CellLayerNormWeights =
                 std::make_unique<ScopedCpuTensorHandle>(*(params.m_CellLayerNormWeights));
         layer->m_LayerNormParameters.m_OutputLayerNormWeights =
                 std::make_unique<ScopedCpuTensorHandle>(*(params.m_OutputLayerNormWeights));
     }
     return layer;
 }

◆ AddMaximumLayer()

IConnectableLayer * AddMaximumLayer ( const char * name = nullptr )

overridevirtual

Add a Maximum layer to the network.

Parameters

name	- Optional name for the layer. @ return - Interface for configuring the layer.

Implements INetwork.

Definition at line 1279 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<MaximumLayer>(name);
 }

◆ AddMeanLayer()

IConnectableLayer * AddMeanLayer	(	const MeanDescriptor &	meanDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Add a Mean layer to the network.

Parameters

meanDescriptor	- Parameters for the mean operation.
name	- Optional name for the layer. @ return - Interface for configuring the layer.

Implements INetwork.

Definition at line 1534 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<MeanLayer>(meanDescriptor,name);
 }

◆ AddMergeLayer()

IConnectableLayer * AddMergeLayer ( const char * name = nullptr )

overridevirtual

Adds a merge layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1580 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<MergeLayer>(name);
 }

◆ AddMergerLayer()

IConnectableLayer * AddMergerLayer	(	const MergerDescriptor &	mergerDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a concat layer to the network.

Parameters

mergerDescriptor	- MergerDescriptor (synonym for OriginsDescriptor) to configure the concatenation process. Number of Views must be equal to the number of inputs, and their order must match - e.g. first view corresponds to the first input, second view to the second input, etc....
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1289 of file Network.cpp.

References Network::AddConcatLayer().

Referenced by Network::GetGuid().

 {
     return AddConcatLayer(mergerDescriptor, name);
 }

◆ AddMinimumLayer()

IConnectableLayer * AddMinimumLayer ( const char * name = nullptr )

overridevirtual

Add a Minimum layer to the network.

Parameters

name	- Optional name for the layer. @ return - Interface for configuring the layer.

Implements INetwork.

Definition at line 1284 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<MinimumLayer>(name);
 }

◆ AddMultiplicationLayer()

IConnectableLayer * AddMultiplicationLayer ( const char * name = nullptr )

overridevirtual

Adds a multiplication layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1305 of file Network.cpp.

Referenced by BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     return m_Graph->AddLayer<MultiplicationLayer>(name);
 }

◆ AddNormalizationLayer()

IConnectableLayer * AddNormalizationLayer	(	const NormalizationDescriptor &	normalizationDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a normalization layer to the network.

Parameters

normalizationDescriptor	- NormalizationDescriptor to configure the normalization.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1255 of file Network.cpp.

Referenced by BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     return m_Graph->AddLayer<NormalizationLayer>(normalizationDescriptor, name);
 }

◆ AddOutputLayer()

IConnectableLayer * AddOutputLayer	(	LayerBindingId	id,
		const char *	name = `nullptr`
	)

overridevirtual

Adds an output layer to the network.

Parameters

id	- User generated id to uniquely identify a particular output. The same id needs to be specified when passing the outputs to the IRuntime::EnqueueWorkload() function.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1310 of file Network.cpp.

Referenced by BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     return m_Graph->AddLayer<OutputLayer>(id, name);
 }

◆ AddPadLayer()

IConnectableLayer * AddPadLayer	(	const PadDescriptor &	padDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a fully pad layer to the network.

Parameters

paddings	- n by 2 tensor, where n is the rank of the input tensor, such that paddings[i,0] indicates the amount of padding to add in front of dimonsion i, and paddings[i,1] indicates the amount of padding to add after the end of dimension i
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1539 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<PadLayer>(padDescriptor,name);
 }

◆ AddPermuteLayer()

IConnectableLayer * AddPermuteLayer	(	const PermuteDescriptor &	permuteDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a permute layer to the network.

Parameters

permuteDescriptor	- PermuteDescriptor to configure the permute.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1231 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<PermuteLayer>(permuteDescriptor, name);
 }

◆ AddPooling2dLayer()

IConnectableLayer * AddPooling2dLayer	(	const Pooling2dDescriptor &	pooling2dDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a pooling layer to the network.

Parameters

pooling2dDescriptor	- Pooling2dDescriptor to configure the pooling.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1237 of file Network.cpp.

Referenced by BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     return m_Graph->AddLayer<Pooling2dLayer>(pooling2dDescriptor, name);
 }

◆ AddPreluLayer()

IConnectableLayer * AddPreluLayer ( const char * name = nullptr )

overridevirtual

Adds a PReLU layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1590 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<PreluLayer>(name);
 }

◆ AddQuantizedLstmLayer()

IConnectableLayer * AddQuantizedLstmLayer	(	const QuantizedLstmInputParams &	params,
		const char *	name = `nullptr`
	)

overridevirtual

Add a QuantizedLstm layer to the network.

Parameters

params	- The weights and biases for the Quantized LSTM cell
name	- Optional name for the layer

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1636 of file Network.cpp.

Referenced by armnn::BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     const auto layer = m_Graph->AddLayer<QuantizedLstmLayer>(name);
 
     // InputToX weights
     layer->m_QuantizedLstmParameters.m_InputToInputWeights =
             std::make_unique<ScopedCpuTensorHandle>(params.GetInputToInputWeights());
     layer->m_QuantizedLstmParameters.m_InputToForgetWeights =
             std::make_unique<ScopedCpuTensorHandle>(params.GetInputToForgetWeights());
     layer->m_QuantizedLstmParameters.m_InputToCellWeights =
             std::make_unique<ScopedCpuTensorHandle>(params.GetInputToCellWeights());
     layer->m_QuantizedLstmParameters.m_InputToOutputWeights =
             std::make_unique<ScopedCpuTensorHandle>(params.GetInputToOutputWeights());
 
     // RecurrentToX weights
     layer->m_QuantizedLstmParameters.m_RecurrentToInputWeights =
             std::make_unique<ScopedCpuTensorHandle>(params.GetRecurrentToInputWeights());
     layer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights =
             std::make_unique<ScopedCpuTensorHandle>(params.GetRecurrentToForgetWeights());
     layer->m_QuantizedLstmParameters.m_RecurrentToCellWeights =
             std::make_unique<ScopedCpuTensorHandle>(params.GetRecurrentToCellWeights());
     layer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights =
             std::make_unique<ScopedCpuTensorHandle>(params.GetRecurrentToOutputWeights());
 
     // Bias
     layer->m_QuantizedLstmParameters.m_InputGateBias =
             std::make_unique<ScopedCpuTensorHandle>(params.GetInputGateBias());
     layer->m_QuantizedLstmParameters.m_ForgetGateBias =
             std::make_unique<ScopedCpuTensorHandle>(params.GetForgetGateBias());
     layer->m_QuantizedLstmParameters.m_CellBias =
             std::make_unique<ScopedCpuTensorHandle>(params.GetCellBias());
     layer->m_QuantizedLstmParameters.m_OutputGateBias =
             std::make_unique<ScopedCpuTensorHandle>(params.GetOutputGateBias());
 
     return layer;
 }

◆ AddQuantizeLayer()

IConnectableLayer * AddQuantizeLayer ( const char * name = nullptr )

overridevirtual

Add a quantize layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1544 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<QuantizeLayer>(name);
 }

◆ AddReshapeLayer()

IConnectableLayer * AddReshapeLayer	(	const ReshapeDescriptor &	reshapeDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a reshape layer to the network.

Parameters

reshapeDescriptor	- Parameters for the reshape operation.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1377 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<ReshapeLayer>(reshapeDescriptor, name);
 }

◆ AddResizeBilinearLayer()

IConnectableLayer * AddResizeBilinearLayer	(	const ResizeBilinearDescriptor &	resizeDesc,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a resize bilinear layer to the network.

Parameters

resizeDesc	- Parameters for the resize operation.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1332 of file Network.cpp.

References armnn::Bilinear, ResizeBilinearDescriptor::m_DataLayout, ResizeDescriptor::m_DataLayout, ResizeDescriptor::m_Method, ResizeBilinearDescriptor::m_TargetHeight, ResizeDescriptor::m_TargetHeight, ResizeBilinearDescriptor::m_TargetWidth, and ResizeDescriptor::m_TargetWidth.

Referenced by Network::GetGuid().

 {
     ResizeDescriptor resizeDescriptor;
     resizeDescriptor.m_Method       = ResizeMethod::Bilinear;
     resizeDescriptor.m_DataLayout   = descriptor.m_DataLayout;
     resizeDescriptor.m_TargetWidth  = descriptor.m_TargetWidth;
     resizeDescriptor.m_TargetHeight = descriptor.m_TargetHeight;
 
     return m_Graph->AddLayer<ResizeLayer>(resizeDescriptor, name);
 }

◆ AddResizeLayer()

IConnectableLayer * AddResizeLayer	(	const ResizeDescriptor &	resizeDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a resize layer to the network.

Parameters

resizeDescriptor	- Parameters for the resize operation.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1344 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<ResizeLayer>(resizeDescriptor, name);
 }

◆ AddRsqrtLayer()

IConnectableLayer * AddRsqrtLayer ( const char * name = nullptr )

overridevirtual

Add Reciprocal of square root layer to the network.

Parameters

name	- Optional name for the layer. @ return - Interface for configuring the layer.

Implements INetwork.

Definition at line 1570 of file Network.cpp.

References Network::AddElementwiseUnaryLayer(), and armnn::Rsqrt.

Referenced by Network::GetGuid().

 {
     return AddElementwiseUnaryLayer(ElementwiseUnaryDescriptor(UnaryOperation::Rsqrt), name);
 }

◆ AddSliceLayer()

IConnectableLayer * AddSliceLayer	(	const SliceDescriptor &	sliceDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a slice layer to the network.

Parameters

sliceDescriptor	- SliceDescriptor to configure the slice operation.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1262 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<SliceLayer>(sliceDescriptor, name);
 }

◆ AddSoftmaxLayer()

IConnectableLayer * AddSoftmaxLayer	(	const SoftmaxDescriptor &	softmaxDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a softmax layer to the network.

If the data type is QAsymm8, then the output quantization parameters must have a scale of 1/256 and an offset of 0

Parameters

softmaxDescriptor	- SoftmaxDescriptor to configure the softmax.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1267 of file Network.cpp.

Referenced by BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     return m_Graph->AddLayer<SoftmaxLayer>(softmaxDescriptor, name);
 }

◆ AddSpaceToBatchNdLayer()

IConnectableLayer * AddSpaceToBatchNdLayer	(	const SpaceToBatchNdDescriptor &	spaceToBatchNdDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a space to batch layer to the network.

Parameters

spaceToBatchNdDescriptor	- Parameters for the space to batch operation.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1383 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<SpaceToBatchNdLayer>(spaceToBatchNdDescriptor, name);
 }

◆ AddSpaceToDepthLayer()

IConnectableLayer * AddSpaceToDepthLayer	(	const SpaceToDepthDescriptor &	spaceToDepthDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a space to depth layer to the network.

Parameters

spaceToDepthDescriptor	- Parameters for the space to depth operation.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1389 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<SpaceToDepthLayer>(spaceToDepthDescriptor, name);
 }

◆ AddSplitterLayer()

IConnectableLayer * AddSplitterLayer	(	const ViewsDescriptor &	splitterDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a splitter layer to the network.

Parameters

splitterDescriptor	- ViewsDescriptor to configure the splitting process. Number of Views must be equal to the number of outputs, and their order must match - e.g. first view corresponds to the first output, second view to the second output, etc....
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1273 of file Network.cpp.

Referenced by BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     return m_Graph->AddLayer<SplitterLayer>(splitterDescriptor, name);
 }

◆ AddStackLayer()

IConnectableLayer * AddStackLayer	(	const StackDescriptor &	descriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a stack layer to the network.

Parameters

descriptor	- Description of the stack layer.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1623 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<StackLayer>(stackDescriptor, name);
 }

◆ AddStandInLayer()

IConnectableLayer * AddStandInLayer	(	const StandInDescriptor &	descriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Add a stand-in layer for a type unknown to the Arm NN framework.

Note: Due to the nature of this layer, no validation can be performed by the framework. Furthermore, Any model containing this layer cannot make use of dynamic tensors since the tensor sizes cannot be inferred. - Descriptor for the StandIn layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1630 of file Network.cpp.

Referenced by BOOST_AUTO_TEST_CASE(), and Network::GetGuid().

 {
     return m_Graph->AddLayer<StandInLayer>(desc, name);
 }

◆ AddStridedSliceLayer()

IConnectableLayer * AddStridedSliceLayer	(	const StridedSliceDescriptor &	stridedSliceDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a strided slice layer to the network.

Parameters

StridedSliceDescriptor	- Parameters for the strided slice operation.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1554 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<StridedSliceLayer>(stridedSliceDescriptor, name);
 }

◆ AddSubtractionLayer()

IConnectableLayer * AddSubtractionLayer ( const char * name = nullptr )

overridevirtual

Adds a subtraction layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1529 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<SubtractionLayer>(name);
 }

◆ AddSwitchLayer()

IConnectableLayer * AddSwitchLayer ( const char * name = nullptr )

overridevirtual

Adds a switch layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1585 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<SwitchLayer>(name);
 }

◆ AddTransposeConvolution2dLayer()

IConnectableLayer * AddTransposeConvolution2dLayer	(	const TransposeConvolution2dDescriptor &	descriptor,
		const ConstTensor &	weights,
		const Optional< ConstTensor > &	biases,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a 2D transpose convolution layer to the network.

Parameters

descriptor	- Description of the 2D transpose convolution layer.
weights	- Tensor for the weights data.
biases	- Optional tensor for the bias data.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1595 of file Network.cpp.

References OptionalBase::has_value(), TransposeConvolution2dDescriptor::m_BiasEnabled, TransposeConvolution2dLayer::m_Weight, and OptionalReferenceSwitch< std::is_reference< T >::value, T >::value().

Referenced by Network::GetGuid().

 {
     if (descriptor.m_BiasEnabled && !biases.has_value())
     {
         throw InvalidArgumentException("AddTransposeConvolution2dLayer: Biases cannot be empty");
     }
 
     const auto layer = m_Graph->AddLayer<TransposeConvolution2dLayer>(descriptor, name);
 
     layer->m_Weight = std::make_unique<ScopedCpuTensorHandle>(weights);
 
     if (descriptor.m_BiasEnabled)
     {
         layer->m_Bias = std::make_unique<ScopedCpuTensorHandle>(biases.value());
     }
 
     return layer;
 }

◆ AddTransposeLayer()

IConnectableLayer * AddTransposeLayer	(	const TransposeDescriptor &	transposeDescriptor,
		const char *	name = `nullptr`
	)

overridevirtual

Adds a transpose layer to the network.

Parameters

transposeDescriptor	- TransposeDescriptor to configure the transpose.
name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implements INetwork.

Definition at line 1617 of file Network.cpp.

Referenced by Network::GetGuid().

 {
     return m_Graph->AddLayer<TransposeLayer>(transposeDescriptor, name);
 }

◆ GetGraph()

const Graph& GetGraph ( ) const

inline

Definition at line 34 of file Network.hpp.

References Network::PrintGraph().

Referenced by Network::Accept(), BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), armnn::GetInputTensorInfo(), and armnn::Optimize().

34 { return *m_Graph; }

◆ GetGuid()

profiling::ProfilingGuid GetGuid ( ) const

inlinefinalvirtual

Implements INetwork.

Definition at line 38 of file Network.hpp.

38 { return m_Guid; };

◆ PrintGraph()

Status PrintGraph ( )

overridevirtual

Implements INetwork.

Definition at line 1035 of file Network.cpp.

References armnn::Success.

Referenced by BOOST_AUTO_TEST_CASE(), and Network::GetGraph().

 {
     m_Graph->Print();
     return Status::Success;
 }

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

src/armnn/Network.hpp
src/armnn/Network.cpp

Public Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ Network()

◆ ~Network()

Member Function Documentation

◆ Accept()

◆ AddAbsLayer()

◆ AddActivationLayer()

◆ AddAdditionLayer()

◆ AddArgMinMaxLayer()

◆ AddBatchNormalizationLayer()

◆ AddBatchToSpaceNdLayer()

◆ AddComparisonLayer()

◆ AddConcatLayer()

◆ AddConstantLayer()

◆ AddConvolution2dLayer() [1/3]

◆ AddConvolution2dLayer() [2/3]

◆ AddConvolution2dLayer() [3/3]

◆ AddDepthToSpaceLayer()

◆ AddDepthwiseConvolution2dLayer() [1/3]

◆ AddDepthwiseConvolution2dLayer() [2/3]

◆ AddDepthwiseConvolution2dLayer() [3/3]

◆ AddDequantizeLayer()

◆ AddDetectionPostProcessLayer()

◆ AddDivisionLayer()

◆ AddElementwiseUnaryLayer()

◆ AddEqualLayer()

◆ AddFloorLayer()

◆ AddFullyConnectedLayer() [1/3]

◆ AddFullyConnectedLayer() [2/3]

◆ AddFullyConnectedLayer() [3/3]

◆ AddGatherLayer()

◆ AddGreaterLayer()

◆ AddInputLayer()

◆ AddInstanceNormalizationLayer()

◆ AddL2NormalizationLayer()

◆ AddLogSoftmaxLayer()

◆ AddLstmLayer()

◆ AddMaximumLayer()

◆ AddMeanLayer()

◆ AddMergeLayer()

◆ AddMergerLayer()

◆ AddMinimumLayer()

◆ AddMultiplicationLayer()

◆ AddNormalizationLayer()

◆ AddOutputLayer()

◆ AddPadLayer()

◆ AddPermuteLayer()

◆ AddPooling2dLayer()

◆ AddPreluLayer()

◆ AddQuantizedLstmLayer()

◆ AddQuantizeLayer()

◆ AddReshapeLayer()

◆ AddResizeBilinearLayer()

◆ AddResizeLayer()

◆ AddRsqrtLayer()

◆ AddSliceLayer()

◆ AddSoftmaxLayer()

◆ AddSpaceToBatchNdLayer()

◆ AddSpaceToDepthLayer()

◆ AddSplitterLayer()

◆ AddStackLayer()

◆ AddStandInLayer()

◆ AddStridedSliceLayer()

◆ AddSubtractionLayer()

◆ AddSwitchLayer()

◆ AddTransposeConvolution2dLayer()

◆ AddTransposeLayer()

◆ GetGraph()

◆ GetGuid()

◆ PrintGraph()