ArmNN
 21.08
NormalizationLayer.cpp
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1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #include "NormalizationLayer.hpp"
6 
7 #include "LayerCloneBase.hpp"
8 
9 #include <armnn/TypesUtils.hpp>
12 
13 namespace armnn
14 {
15 
17  : LayerWithParameters(1, 1, LayerType::Normalization, param, name)
18 {
19 }
20 
21 std::unique_ptr<IWorkload> NormalizationLayer::CreateWorkload(const IWorkloadFactory& factory) const
22 {
24  SetAdditionalInfo(descriptor);
25 
26  return factory.CreateNormalization(descriptor, PrepInfoAndDesc(descriptor));
27 }
28 
30 {
31  return CloneBase<NormalizationLayer>(graph, m_Param, GetName());
32 }
33 
35 {
37 
38  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
39 
41 
42  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
43 
44  ARMNN_ASSERT(inferredShapes.size() == 1);
45 
46  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "NormalizationLayer");
47 }
48 
50 {
51  visitor.VisitNormalizationLayer(this, GetParameters(), GetName());
52 }
53 
54 } // namespace armnn
NormalizationLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
NormalizationDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
const NormalizationDescriptor & GetParameters() const
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
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:368
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:433
Copyright (c) 2021 ARM Limited and Contributors.
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:393
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:349
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:316
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
virtual std::unique_ptr< IWorkload > CreateNormalization(const NormalizationQueueDescriptor &descriptor, const WorkloadInfo &info) const
#define CHECK_LOCATION()
Definition: Exceptions.hpp:197
This layer represents a normalization operation.
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:245
NormalizationLayer(const NormalizationDescriptor &param, const char *name)
Constructor to create a NormalizationLayer.
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...
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:318
virtual const TensorInfo & GetTensorInfo() const =0
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:311
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Normalization type.
A NormalizationDescriptor for the NormalizationLayer.
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of NormalizationLayer.
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:408
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:405
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.