Main network class which provides the interface for building up a neural network. More...

#include <INetwork.hpp>

Inheritance diagram for INetwork:

Public Member Functions
virtual Status	PrintGraph ()=0

virtual profiling::ProfilingGuid	GetGuid () const =0

virtual IConnectableLayer *	AddInputLayer (LayerBindingId id, const char *name=nullptr)=0
	Adds an input layer to the network. More...

virtual IConnectableLayer *	AddArgMinMaxLayer (const ArgMinMaxDescriptor &desc, const char *name=nullptr)=0
	Adds an ArgMinMax layer to the network. More...

virtual IConnectableLayer *	AddComparisonLayer (const ComparisonDescriptor &comparisonDescriptor, const char *name=nullptr)=0
	Add a Comparison layer to the network. More...

virtual IConnectableLayer *	AddConcatLayer (const ConcatDescriptor &concatDescriptor, const char *name=nullptr)=0
	Adds a concatenation layer to the network. More...

virtual IConnectableLayer *	AddConvolution2dLayer (const Convolution2dDescriptor &convolution2dDescriptor, const ConstTensor &weights, const Optional< ConstTensor > &biases, const char *name=nullptr)=0
	Adds a 2D convolution layer to the network. More...

virtual IConnectableLayer *	AddConvolution2dLayer (const Convolution2dDescriptor &convolution2dDescriptor, const ConstTensor &weights, const char *name=nullptr)=0

virtual IConnectableLayer *	AddConvolution2dLayer (const Convolution2dDescriptor &convolution2dDescriptor, const ConstTensor &weights, const ConstTensor &biases, const char *name=nullptr)=0

virtual IConnectableLayer *	AddDepthToSpaceLayer (const DepthToSpaceDescriptor &depthToSpaceDescriptor, const char *name=nullptr)=0
	Adds a depth to space layer to the network. More...

virtual IConnectableLayer *	AddDepthwiseConvolution2dLayer (const DepthwiseConvolution2dDescriptor &convolution2dDescriptor, const ConstTensor &weights, const Optional< ConstTensor > &biases, const char *name=nullptr)=0
	Adds a 2D depthwise convolution layer to the network. More...

virtual IConnectableLayer *	AddDepthwiseConvolution2dLayer (const DepthwiseConvolution2dDescriptor &convolution2dDescriptor, const ConstTensor &weights, const char *name=nullptr)=0

virtual IConnectableLayer *	AddDepthwiseConvolution2dLayer (const DepthwiseConvolution2dDescriptor &convolution2dDescriptor, const ConstTensor &weights, const ConstTensor &biases, const char *name=nullptr)=0

virtual IConnectableLayer *	AddDequantizeLayer (const char *name=nullptr)=0
	Adds a Dequantize layer to the network. More...

virtual IConnectableLayer *	AddDetectionPostProcessLayer (const DetectionPostProcessDescriptor &descriptor, const ConstTensor &anchors, const char *name=nullptr)=0
	Adds a Detection PostProcess layer to the network. More...

virtual IConnectableLayer *	AddElementwiseUnaryLayer (const ElementwiseUnaryDescriptor &elementwiseUnaryDescriptor, const char *name=nullptr)=0
	Add an ElementwiseUnary layer to the network. More...

virtual IConnectableLayer *	AddFullyConnectedLayer (const FullyConnectedDescriptor &fullyConnectedDescriptor, const ConstTensor &weights, const Optional< ConstTensor > &biases, const char *name=nullptr)=0
	Adds a fully connected layer to the network. More...

virtual IConnectableLayer *	AddFullyConnectedLayer (const FullyConnectedDescriptor &fullyConnectedDescriptor, const ConstTensor &weights, const char *name=nullptr)=0

virtual IConnectableLayer *	AddFullyConnectedLayer (const FullyConnectedDescriptor &fullyConnectedDescriptor, const ConstTensor &weights, const ConstTensor &biases, const char *name=nullptr)=0

virtual IConnectableLayer *	AddPermuteLayer (const PermuteDescriptor &permuteDescriptor, const char *name=nullptr)=0
	Adds a permute layer to the network. More...

virtual IConnectableLayer *	AddBatchToSpaceNdLayer (const BatchToSpaceNdDescriptor &batchToSpaceNdDescriptor, const char *name=nullptr)=0
	Adds a batch to space ND layer to the network. More...

virtual IConnectableLayer *	AddPooling2dLayer (const Pooling2dDescriptor &pooling2dDescriptor, const char *name=nullptr)=0
	Adds a pooling layer to the network. More...

virtual IConnectableLayer *	AddActivationLayer (const ActivationDescriptor &activationDescriptor, const char *name=nullptr)=0
	Adds an activation layer to the network. More...

virtual IConnectableLayer *	AddNormalizationLayer (const NormalizationDescriptor &normalizationDescriptor, const char *name=nullptr)=0
	Adds a normalization layer to the network. More...

virtual IConnectableLayer *	AddSliceLayer (const SliceDescriptor &sliceDescriptor, const char *name=nullptr)=0
	Adds a slice layer to the network. More...

virtual IConnectableLayer *	AddSoftmaxLayer (const SoftmaxDescriptor &softmaxDescriptor, const char *name=nullptr)=0
	Adds a softmax layer to the network. More...

virtual IConnectableLayer *	AddSplitterLayer (const ViewsDescriptor &splitterDescriptor, const char *name=nullptr)=0
	Adds a splitter layer to the network. More...

virtual IConnectableLayer *	AddMergeLayer (const char *name=nullptr)=0
	Adds a merge layer to the network. More...

virtual IConnectableLayer *	AddMergerLayer (const MergerDescriptor &mergerDescriptor, const char *name=nullptr)=0
	Adds a concat layer to the network. More...

virtual IConnectableLayer *	AddAbsLayer (const char *name=nullptr)=0
	Add absolute layer to the network. More...

virtual IConnectableLayer *	AddAdditionLayer (const char *name=nullptr)=0
	Adds an addition layer to the network. More...

virtual IConnectableLayer *	AddMultiplicationLayer (const char *name=nullptr)=0
	Adds a multiplication layer to the network. More...

virtual IConnectableLayer *	AddBatchNormalizationLayer (const BatchNormalizationDescriptor &desc, const ConstTensor &mean, const ConstTensor &variance, const ConstTensor &beta, const ConstTensor &gamma, const char *name=nullptr)=0
	Adds a batch normalization layer to the network. More...

virtual IConnectableLayer *	AddResizeBilinearLayer (const ResizeBilinearDescriptor &resizeDesc, const char *name=nullptr)=0
	Adds a resize bilinear layer to the network. More...

virtual IConnectableLayer *	AddResizeLayer (const ResizeDescriptor &resizeDescriptor, const char *name=nullptr)=0
	Adds a resize layer to the network. More...

virtual IConnectableLayer *	AddInstanceNormalizationLayer (const InstanceNormalizationDescriptor &desc, const char *name=nullptr)=0
	Adds an instance normalization layer to the network. More...

virtual IConnectableLayer *	AddL2NormalizationLayer (const L2NormalizationDescriptor &desc, const char *name=nullptr)=0
	Adds an L2 normalization layer to the network. More...

virtual IConnectableLayer *	AddLogSoftmaxLayer (const LogSoftmaxDescriptor &logSoftmaxDescriptor, const char *name=nullptr)=0
	Adds a log softmax layer to the network. More...

virtual IConnectableLayer *	AddConstantLayer (const ConstTensor &input, const char *name=nullptr)=0
	Adds a layer with no inputs and a single output, which always corresponds to the passed in constant tensor. More...

virtual IConnectableLayer *	AddReshapeLayer (const ReshapeDescriptor &reshapeDescriptor, const char *name=nullptr)=0
	Adds a reshape layer to the network. More...

virtual IConnectableLayer *	AddSpaceToBatchNdLayer (const SpaceToBatchNdDescriptor &spaceToBatchNdDescriptor, const char *name=nullptr)=0
	Adds a space to batch layer to the network. More...

virtual IConnectableLayer *	AddSpaceToDepthLayer (const SpaceToDepthDescriptor &spaceToDepthDescriptor, const char *name=nullptr)=0
	Adds a space to depth layer to the network. More...

virtual IConnectableLayer *	AddFloorLayer (const char *name=nullptr)=0
	Adds a floor layer to the network. More...

virtual IConnectableLayer *	AddOutputLayer (LayerBindingId id, const char *name=nullptr)=0
	Adds an output layer to the network. More...

virtual IConnectableLayer *	AddLstmLayer (const LstmDescriptor &descriptor, const LstmInputParams &params, const char *name=nullptr)=0
	Add a Lstm layer to the network. More...

virtual IConnectableLayer *	AddDivisionLayer (const char *name=nullptr)=0
	Adds a division layer to the network. More...

virtual IConnectableLayer *	AddSubtractionLayer (const char *name=nullptr)=0
	Adds a subtraction layer to the network. More...

virtual IConnectableLayer *	AddMaximumLayer (const char *name=nullptr)=0
	Add a Maximum layer to the network. More...

virtual IConnectableLayer *	AddMeanLayer (const MeanDescriptor &meanDescriptor, const char *name=nullptr)=0
	Add a Mean layer to the network. More...

virtual IConnectableLayer *	AddPadLayer (const PadDescriptor &padDescriptor, const char *name=nullptr)=0
	Adds a fully pad layer to the network. More...

virtual IConnectableLayer *	AddQuantizeLayer (const char *name=nullptr)=0
	Add a quantize layer to the network. More...

virtual IConnectableLayer *	AddStridedSliceLayer (const StridedSliceDescriptor &stridedSliceDescriptor, const char *name=nullptr)=0
	Adds a strided slice layer to the network. More...

virtual IConnectableLayer *	AddMinimumLayer (const char *name=nullptr)=0
	Add a Minimum layer to the network. More...

virtual IConnectableLayer *	AddGreaterLayer (const char *name=nullptr)=0
	Add a Greater layer to the network. More...

virtual IConnectableLayer *	AddEqualLayer (const char *name=nullptr)=0
	Add a Equal layer to the network. More...

virtual IConnectableLayer *	AddRsqrtLayer (const char *name=nullptr)=0
	Add Reciprocal of square root layer to the network. More...

virtual IConnectableLayer *	AddGatherLayer (const char *name=nullptr)=0
	Add Gather layer to the network. More...

virtual IConnectableLayer *	AddSwitchLayer (const char *name=nullptr)=0
	Adds a switch layer to the network. More...

virtual IConnectableLayer *	AddPreluLayer (const char *name=nullptr)=0
	Adds a PReLU layer to the network. More...

virtual IConnectableLayer *	AddTransposeConvolution2dLayer (const TransposeConvolution2dDescriptor &descriptor, const ConstTensor &weights, const Optional< ConstTensor > &biases, const char *name=nullptr)=0
	Adds a 2D transpose convolution layer to the network. More...

virtual IConnectableLayer *	AddTransposeLayer (const TransposeDescriptor &transposeDescriptor, const char *name=nullptr)=0
	Adds a transpose layer to the network. More...

virtual IConnectableLayer *	AddStackLayer (const StackDescriptor &descriptor, const char *name=nullptr)=0
	Adds a stack layer to the network. More...

virtual IConnectableLayer *	AddStandInLayer (const StandInDescriptor &descriptor, const char *name=nullptr)=0
	Add a stand-in layer for a type unknown to the Arm NN framework. More...

virtual IConnectableLayer *	AddQuantizedLstmLayer (const QuantizedLstmInputParams &params, const char *name=nullptr)=0
	Add a QuantizedLstm layer to the network. More...

virtual void	Accept (ILayerVisitor &visitor) const =0

Static Public Member Functions
static INetwork *	CreateRaw ()

static INetworkPtr	Create ()

static void	Destroy (INetwork *network)

Protected Member Functions
	~INetwork ()

Detailed Description

Main network class which provides the interface for building up a neural network.

This object is subsequently required by the IRuntime::Load() method.

Definition at line 105 of file INetwork.hpp.

Constructor & Destructor Documentation

◆ ~INetwork()

~INetwork ( )

inlineprotected

Definition at line 563 of file INetwork.hpp.

563 {}

Member Function Documentation

◆ Accept()

virtual void Accept ( ILayerVisitor & visitor ) const

pure virtual

Implemented in Network.

Referenced by Serializer::Serialize().

◆ AddAbsLayer()

virtual IConnectableLayer* AddAbsLayer ( const char * name = nullptr )

pure virtual

Add absolute layer to the network.

Parameters

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

Implemented in Network.

◆ AddActivationLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by BOOST_AUTO_TEST_CASE(), armnn::CreateStartOfLeakyReluNetwork(), armnnTfParser::OutputShapeOfExpandDims(), and armnnTfParser::OutputShapeOfSqueeze().

◆ AddAdditionLayer()

virtual IConnectableLayer* AddAdditionLayer ( const char * name = nullptr )

pure virtual

Adds an addition layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implemented in Network.

Referenced by BOOST_AUTO_TEST_CASE(), armnnTfParser::OutputShapeOfSqueeze(), and TfParser::TfParser().

◆ AddArgMinMaxLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddBatchNormalizationLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfExpandDims().

◆ AddBatchToSpaceNdLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddComparisonLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfExpandDims().

◆ AddConcatLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::CalculatePaddedOutputTensorInfo().

◆ AddConstantLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddConvolution2dLayer() [1/3]

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::ConvertTfTensorDataType().

◆ AddConvolution2dLayer() [2/3]

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

pure virtual

Implemented in Network.

◆ AddConvolution2dLayer() [3/3]

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

pure virtual

Implemented in Network.

◆ AddDepthToSpaceLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddDepthwiseConvolution2dLayer() [1/3]

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::ConvertTfTensorDataType().

◆ AddDepthwiseConvolution2dLayer() [2/3]

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

pure virtual

Implemented in Network.

◆ AddDepthwiseConvolution2dLayer() [3/3]

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

pure virtual

Implemented in Network.

◆ AddDequantizeLayer()

virtual IConnectableLayer* AddDequantizeLayer ( const char * name = nullptr )

pure virtual

Adds a Dequantize layer to the network.

Returns: - Interface for configuring the layer.

Implemented in Network.

◆ AddDetectionPostProcessLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddDivisionLayer()

virtual IConnectableLayer* AddDivisionLayer ( const char * name = nullptr )

pure virtual

Adds a division layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfSqueeze().

◆ AddElementwiseUnaryLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfSqueeze().

◆ AddEqualLayer()

virtual IConnectableLayer* AddEqualLayer ( const char * name = nullptr )

pure virtual

Add a Equal layer to the network.

Parameters

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

Implemented in Network.

◆ AddFloorLayer()

virtual IConnectableLayer* AddFloorLayer ( const char * name = nullptr )

pure virtual

Adds a floor layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implemented in Network.

◆ AddFullyConnectedLayer() [1/3]

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfSqueeze().

◆ AddFullyConnectedLayer() [2/3]

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

pure virtual

Implemented in Network.

◆ AddFullyConnectedLayer() [3/3]

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

pure virtual

Implemented in Network.

◆ AddGatherLayer()

virtual IConnectableLayer* AddGatherLayer ( const char * name = nullptr )

pure virtual

Add Gather layer to the network.

Parameters

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

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfExpandDims().

◆ AddGreaterLayer()

virtual IConnectableLayer* AddGreaterLayer ( const char * name = nullptr )

pure virtual

Add a Greater layer to the network.

Parameters

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

Implemented in Network.

◆ AddInputLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by BOOST_AUTO_TEST_CASE(), armnn::CreateStartOfLeakyReluNetwork(), and armnnTfParser::OutputShapeOfSqueeze().

◆ AddInstanceNormalizationLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddL2NormalizationLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddLogSoftmaxLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddLstmLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddMaximumLayer()

virtual IConnectableLayer* AddMaximumLayer ( const char * name = nullptr )

pure virtual

Add a Maximum layer to the network.

Parameters

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

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfSqueeze().

◆ AddMeanLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfSqueeze().

◆ AddMergeLayer()

virtual IConnectableLayer* AddMergeLayer ( const char * name = nullptr )

pure virtual

Adds a merge layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implemented in Network.

◆ AddMergerLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddMinimumLayer()

virtual IConnectableLayer* AddMinimumLayer ( const char * name = nullptr )

pure virtual

Add a Minimum layer to the network.

Parameters

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

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfExpandDims().

◆ AddMultiplicationLayer()

virtual IConnectableLayer* AddMultiplicationLayer ( const char * name = nullptr )

pure virtual

Adds a multiplication layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfSqueeze().

◆ AddNormalizationLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfSqueeze().

◆ AddOutputLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by BOOST_AUTO_TEST_CASE(), armnn::CompleteLeakyReluNetwork(), and armnnTfParser::OutputShapeOfSqueeze().

◆ AddPadLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::CalculatePaddedOutputTensorInfo().

◆ AddPermuteLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddPooling2dLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfSqueeze().

◆ AddPreluLayer()

virtual IConnectableLayer* AddPreluLayer ( const char * name = nullptr )

pure virtual

Adds a PReLU layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implemented in Network.

◆ AddQuantizedLstmLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddQuantizeLayer()

virtual IConnectableLayer* AddQuantizeLayer ( const char * name = nullptr )

pure virtual

Add a quantize layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implemented in Network.

◆ AddReshapeLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::CalculatePaddedOutputTensorInfo(), armnnTfParser::OutputShapeOfExpandDims(), and armnnTfParser::OutputShapeOfSqueeze().

◆ AddResizeBilinearLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddResizeLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::CalculatePaddedOutputTensorInfo().

◆ AddRsqrtLayer()

virtual IConnectableLayer* AddRsqrtLayer ( const char * name = nullptr )

pure virtual

Add Reciprocal of square root layer to the network.

Parameters

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

Implemented in Network.

◆ AddSliceLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddSoftmaxLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfSqueeze().

◆ AddSpaceToBatchNdLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddSpaceToDepthLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddSplitterLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfSqueeze().

◆ AddStackLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfExpandDims().

◆ AddStandInLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddStridedSliceLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfSqueeze().

◆ AddSubtractionLayer()

virtual IConnectableLayer* AddSubtractionLayer ( const char * name = nullptr )

pure virtual

Adds a subtraction layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfExpandDims().

◆ AddSwitchLayer()

virtual IConnectableLayer* AddSwitchLayer ( const char * name = nullptr )

pure virtual

Adds a switch layer to the network.

Parameters

name	- Optional name for the layer.

Returns: - Interface for configuring the layer.

Implemented in Network.

◆ AddTransposeConvolution2dLayer()

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

pure virtual

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.

Implemented in Network.

◆ AddTransposeLayer()

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

pure virtual

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.

Implemented in Network.

Referenced by armnnTfParser::OutputShapeOfExpandDims().

◆ Create()

armnn::INetworkPtr Create ( )

static

Definition at line 49 of file Network.cpp.

References INetwork::CreateRaw(), and INetwork::Destroy().

Referenced by BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), RecordByRecordCaffeParser::CreateNetworkFromBinaryFile(), CaffeParserBase::CreateNetworkFromNetParameter(), armnn::CreateNetworkWithActivationLayer(), armnn::CreateNetworkWithFullyConnectedLayer(), armnn::CreateNetworkWithInputOutputLayers(), armnn::CreateNetworkWithSoftmaxLayer(), GetSoftmaxProfilerJson(), armnn::PreserveTypeTestImpl(), armnn::TestQuantizeConvolution2d(), armnn::TestQuantizeDepthwiseConvolution2d(), armnn::TestQuantizeTransposeConvolution2d(), and VerifyPostOptimisationStructureTestImpl().

 {
     return INetworkPtr(CreateRaw(), &INetwork::Destroy);
 }

◆ CreateRaw()

armnn::INetwork * CreateRaw ( )

static

Definition at line 44 of file Network.cpp.

Referenced by INetwork::Create().

 {
     return new Network();
 }

◆ Destroy()

void Destroy ( INetwork * network )

static

Definition at line 54 of file Network.cpp.

Referenced by INetwork::Create().

 {
     delete boost::polymorphic_downcast<Network*>(network);
 }

◆ GetGuid()

virtual profiling::ProfilingGuid GetGuid ( ) const

pure virtual

Implemented in Network.

◆ PrintGraph()

virtual Status PrintGraph ( )

pure virtual

Implemented in Network.

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

include/armnn/INetwork.hpp
src/armnn/Network.cpp

Public Member Functions

Static Public Member Functions

Protected Member Functions

Detailed Description

Constructor & Destructor Documentation

◆ ~INetwork()

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()

◆ Create()

◆ CreateRaw()

◆ Destroy()

◆ GetGuid()

◆ PrintGraph()