patch/20.02/_normalization_layer_8cpp_source.xhtml

 //
 // Copyright © 2017 Arm Ltd. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #include "NormalizationLayer.hpp"

 #include "LayerCloneBase.hpp"

 #include <armnn/TypesUtils.hpp>
 #include <backendsCommon/WorkloadData.hpp>
 #include <backendsCommon/WorkloadFactory.hpp>

 namespace armnn
 {

 NormalizationLayer::NormalizationLayer(const NormalizationDescriptor& param, const char* name)
     : LayerWithParameters(1, 1, LayerType::Normalization, param, name)
 {
 }

 std::unique_ptr<IWorkload> NormalizationLayer::CreateWorkload(const IWorkloadFactory& factory) const
 {
     NormalizationQueueDescriptor descriptor;
     return factory.CreateNormalization(descriptor, PrepInfoAndDesc(descriptor));
 }

 NormalizationLayer* NormalizationLayer::Clone(Graph& graph) const
 {
     return CloneBase<NormalizationLayer>(graph, m_Param, GetName());
 }

 void NormalizationLayer::ValidateTensorShapesFromInputs()
 {
     VerifyLayerConnections(1, CHECK_LOCATION());

     auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });

     BOOST_ASSERT(inferredShapes.size() == 1);

     ConditionalThrowIfNotEqual<LayerValidationException>(
         "NormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
         GetOutputSlot(0).GetTensorInfo().GetShape(),
         inferredShapes[0]);
 }

 void NormalizationLayer::Accept(ILayerVisitor& visitor) const
 {
     visitor.VisitNormalizationLayer(this, GetParameters(), GetName());
 }

 } // namespace armnn
armnn::NormalizationLayer::Clone
NormalizationLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: NormalizationLayer.cpp:27

+WorkloadData.hpp

+armnn::LayerWithParameters< NormalizationDescriptor >::m_Param
NormalizationDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:50

+armnn::LayerWithParameters< NormalizationDescriptor >::GetParameters
const NormalizationDescriptor & GetParameters() const
Definition: LayerWithParameters.hpp:18

+armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:88

+armnn::Layer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infer the shape of the output(s) based on the provided input shape(s)
Definition: Layer.cpp:371

+WorkloadFactory.hpp

+armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:21

+armnn::LayerType::Normalization

+armnn
Copyright (c) 2020 ARM Limited.
Definition: 00_introduction.dox:25

+armnn::InputSlot::GetConnection
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199

+armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:338

+NormalizationLayer.hpp

+armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:310

+TypesUtils.hpp

+armnn::IWorkloadFactory::CreateNormalization
virtual std::unique_ptr< IWorkload > CreateNormalization(const NormalizationQueueDescriptor &descriptor, const WorkloadInfo &info) const
Definition: WorkloadFactory.cpp:1316

+CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:192

+armnn::Graph
Definition: Graph.hpp:29

+armnn::NormalizationLayer
This layer represents a normalization operation.
Definition: NormalizationLayer.hpp:13

+armnn::NormalizationLayer::NormalizationLayer
NormalizationLayer(const NormalizationDescriptor &param, const char *name)
Constructor to create a NormalizationLayer.
Definition: NormalizationLayer.cpp:16

+armnn::ILayerVisitor::VisitNormalizationLayer
virtual void VisitNormalizationLayer(const IConnectableLayer *layer, const NormalizationDescriptor &normalizationDescriptor, const char *name=nullptr)=0
Function that a normalization layer should call back to when its Accept(ILayerVisitor&) function is i...

+armnn::LayerWithParameters< NormalizationDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: LayerWithParameters.hpp:43

+armnn::ILayerVisitor
Definition: ILayerVisitor.hpp:16

+armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:312

+armnn::IOutputSlot::GetTensorInfo
virtual const TensorInfo & GetTensorInfo() const =0

+armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:305

+armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:13

+armnn::NormalizationLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Normalization type.
Definition: NormalizationLayer.cpp:21

+armnn::NormalizationDescriptor
A NormalizationDescriptor for the NormalizationLayer.
Definition: Descriptors.hpp:551

+armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63

+armnn::NormalizationLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of NormalizationLayer.
Definition: NormalizationLayer.cpp:32

+LayerCloneBase.hpp

+armnn::LayerType
LayerType
Definition: InternalTypes.hpp:14

+armnn::NormalizationLayer::Accept
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: NormalizationLayer.cpp:46

+armnn::NormalizationQueueDescriptor
Definition: WorkloadData.hpp:210

+