ArmNN
 24.08
MergeLayer.cpp
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1 //
2 // Copyright © 2019-2024 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #include "MergeLayer.hpp"
6 
7 #include "LayerCloneBase.hpp"
8 
11 
12 namespace armnn
13 {
14 
15 MergeLayer::MergeLayer(const char* name)
16  : Layer(2, 1, LayerType::Merge, name)
17 {}
18 
19 std::unique_ptr<IWorkload> MergeLayer::CreateWorkload(const IWorkloadFactory& factory) const
20 {
21  IgnoreUnused(factory);
22  return nullptr;
23 }
24 
26 {
27  return CloneBase<MergeLayer>(graph, GetName());
28 }
29 
31 {
33 
34  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
35 
37 
38  std::vector<TensorShape> inferredShapes = InferOutputShapes({
41  });
42 
43  if (inferredShapes.size() != 1)
44  {
45  throw armnn::LayerValidationException("inferredShapes has "
46  + std::to_string(inferredShapes.size()) +
47  " elements - should only have 1.");
48  }
49 
50  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "MergeLayer");
51 }
52 
53 std::vector<TensorShape> MergeLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
54 {
55  if (inputShapes.size() != 2)
56  {
57  throw armnn::Exception("inputShapes' size is \"" + std::to_string(inputShapes.size()) +
58  "\" - should be \"2\".");
59  }
60 
61  ConditionalThrowIfNotEqual<LayerValidationException>(
62  "MergeLayer: TensorShapes set on inputs do not match",
63  inputShapes[0],
64  inputShapes[1]
65  );
66 
67  return {inputShapes[0]};
68 }
69 
71 {
72  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
73 }
74 
75 } // namespace armnn
armnn::MergeLayer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infers the output shapes from given input shapes.
Definition: MergeLayer.cpp:53
armnn::MergeLayer::MergeLayer
MergeLayer(const char *name)
Constructor to create a MergeLayer.
Definition: MergeLayer.cpp:15
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:100
WorkloadData.hpp
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
armnn::MergeLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: MergeLayer.cpp:70
armnn::Layer::ValidateAndCopyShape
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:457
armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:339
armnn::IStrategy
Definition: IStrategy.hpp:16
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:337
WorkloadFactory.hpp
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:332
armnn::MergeLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Merge type.
Definition: MergeLayer.cpp:19
armnn::Layer
Definition: Layer.hpp:230
armnn::InputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Gets the TensorInfo for this InputSlot.
Definition: Layer.cpp:614
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::MergeLayer::Clone
MergeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: MergeLayer.cpp:25
MergeLayer.hpp
armnn::MergeLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of MergeLayer.
Definition: MergeLayer.cpp:30
armnn::LayerType::Merge
@ Merge
armnn::LayerValidationException
Definition: Exceptions.hpp:105
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:526
armnn::Exception
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46
armnn::Layer::GetParameters
virtual const BaseDescriptor & GetParameters() const override
If the layer has a descriptor return it.
Definition: Layer.hpp:378
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn::IgnoreUnused
void IgnoreUnused(Ts &&...)
Definition: IgnoreUnused.hpp:14
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:410
armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:441
armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
Definition: Types.hpp:491
armnn::Graph
Definition: Graph.hpp:30
armnn::IStrategy::ExecuteStrategy
virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0
LayerCloneBase.hpp
armnn::MergeLayer
This layer dequantizes the input tensor.
Definition: MergeLayer.hpp:13