ArmNN
 24.08
ComparisonLayer.cpp
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1 //
2 // Copyright © 2019-2024 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "ComparisonLayer.hpp"
7 
8 #include "LayerCloneBase.hpp"
9 
12 
13 #include <algorithm>
14 
15 namespace armnn
16 {
17 
19  : LayerWithParameters(2, 1, LayerType::Comparison, param, name)
20 {
21 }
22 
23 std::unique_ptr<IWorkload> ComparisonLayer::CreateWorkload(const IWorkloadFactory& factory) const
24 {
25  ComparisonQueueDescriptor descriptor;
26  SetAdditionalInfo(descriptor);
27 
28  return factory.CreateWorkload(LayerType::Comparison,descriptor, PrepInfoAndDesc(descriptor));
29 }
30 
32 {
33  return CloneBase<ComparisonLayer>(graph, m_Param, GetName());
34 }
35 
36 std::vector<TensorShape> ComparisonLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
37 {
38  if (inputShapes.size() != 2)
39  {
40  throw armnn::Exception("inputShapes' size is \"" + std::to_string(inputShapes.size()) +
41  "\" - should be \"2\".");
42  }
43 
44  TensorShape input0 = inputShapes[0];
45  TensorShape input1 = inputShapes[1];
46 
47  if (inputShapes[0].GetNumDimensions() < inputShapes[1].GetNumDimensions())
48  {
49  input1 = inputShapes[0];
50  input0 = inputShapes[1];
51  }
52  unsigned int numDims = input0.GetNumDimensions();
53  unsigned int shiftedDims = input0.GetNumDimensions() - input1.GetNumDimensions();
54 
55  // Get the max of the inputs.
56  std::vector<unsigned int> dims(numDims);
57  for (unsigned int i = shiftedDims; i < numDims; i++)
58  {
59  unsigned int dim0 = input0[i];
60  unsigned int dim1 = input1[i - shiftedDims];
61 
62  // Validate inputs are broadcast compatible.
63  if (dim0 != dim1 && dim0 != 1 && dim1 != 1)
64  {
65  throw armnn::Exception("Dimensions should either match or one should be of size 1.");
66  }
67 
68  dims[i] = std::max(dim0, dim1);
69  }
70 
71  // Fill in the rest of the shifted dimensions.
72  for (unsigned int i = 0; i < shiftedDims; i++)
73  {
74  dims[i] = input0[i];
75  }
76 
77  return std::vector<TensorShape>({ TensorShape(numDims, dims.data()) });
78 }
79 
81 {
83 
84  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
85 
87 
88  std::vector<TensorShape> inferredShapes = InferOutputShapes({
91  });
92 
93  if (inferredShapes.size() != 1)
94  {
95  throw armnn::LayerValidationException("inferredShapes has "
96  + std::to_string(inferredShapes.size()) +
97  " elements - should only have 1.");
98  }
99 
100  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ComparisonLayer");
101 }
102 
104 {
105  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
106 }
107 
108 } // namespace armnn
armnn::ComparisonLayer
This layer represents a comparison operation.
Definition: ComparisonLayer.hpp:14
ComparisonLayer.hpp
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:100
WorkloadData.hpp
armnn::ComparisonQueueDescriptor
Definition: WorkloadData.hpp:666
armnn::LayerType::Comparison
@ Comparison
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
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::ComparisonLayer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
By default returns inputShapes if the number of inputs are equal to number of outputs,...
Definition: ComparisonLayer.cpp:36
armnn::IStrategy
Definition: IStrategy.hpp:16
armnn::ComparisonLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ComparisonLayer.
Definition: ComparisonLayer.cpp:80
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:337
armnn::LayerWithParameters< ComparisonDescriptor >::GetParameters
const ComparisonDescriptor & GetParameters() const override
Definition: LayerWithParameters.hpp:19
WorkloadFactory.hpp
armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:14
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:332
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::LayerWithParameters< ComparisonDescriptor >::m_Param
ComparisonDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:52
armnn::TensorShape::GetNumDimensions
unsigned int GetNumDimensions() const
Function that returns the tensor rank.
Definition: Tensor.cpp:174
armnn::LayerWithParameters< ComparisonDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: LayerWithParameters.hpp:44
armnn::LayerValidationException
Definition: Exceptions.hpp:105
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::ComparisonLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Comparison type.
Definition: ComparisonLayer.cpp:23
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:526
armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:303
armnn::Exception
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46
armnn::ComparisonDescriptor
A ComparisonDescriptor for the ComparisonLayer.
Definition: Descriptors.hpp:89
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn::ComparisonLayer::ComparisonLayer
ComparisonLayer(const ComparisonDescriptor &param, const char *name)
Constructor to create a ComparisonLayer.
Definition: ComparisonLayer.cpp:18
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::ComparisonLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: ComparisonLayer.cpp:103
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::ComparisonLayer::Clone
ComparisonLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ComparisonLayer.cpp:31
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::IWorkloadFactory::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const =0
Backends should implement their own CreateWorkload function with a switch statement.
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