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ComparisonLayer.cpp
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1 //
2 // Copyright © 2019 Arm Ltd. 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  return factory.CreateComparison(descriptor, PrepInfoAndDesc(descriptor));
27 }
28 
30 {
31  return CloneBase<ComparisonLayer>(graph, m_Param, GetName());
32 }
33 
34 std::vector<TensorShape> ComparisonLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
35 {
36  BOOST_ASSERT(inputShapes.size() == 2);
37  const TensorShape& input0 = inputShapes[0];
38  const TensorShape& input1 = inputShapes[1];
39 
40  BOOST_ASSERT(input0.GetNumDimensions() == input1.GetNumDimensions());
41  unsigned int numDims = input0.GetNumDimensions();
42 
43  std::vector<unsigned int> dims(numDims);
44  for (unsigned int i = 0; i < numDims; i++)
45  {
46  unsigned int dim0 = input0[i];
47  unsigned int dim1 = input1[i];
48 
49  BOOST_ASSERT_MSG(dim0 == dim1 || dim0 == 1 || dim1 == 1,
50  "Dimensions should either match or one should be of size 1.");
51 
52  dims[i] = std::max(dim0, dim1);
53  }
54 
55  return std::vector<TensorShape>({ TensorShape(numDims, dims.data()) });
56 }
57 
59 {
61 
62  std::vector<TensorShape> inferredShapes = InferOutputShapes({
65  });
66  BOOST_ASSERT(inferredShapes.size() == 1);
67 
68  ConditionalThrowIfNotEqual<LayerValidationException>(
69  "ComparisonLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
71  inferredShapes[0]);
72 }
73 
75 {
76  visitor.VisitComparisonLayer(this, GetParameters(), GetName());
77 }
78 
79 } // namespace armnn
const char * GetName() const override
Definition: Layer.hpp:305
unsigned int GetNumDimensions() const
Definition: Tensor.hpp:43
virtual const TensorInfo & GetTensorInfo() const =0
void ValidateTensorShapesFromInputs() override
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
virtual void VisitComparisonLayer(const IConnectableLayer *layer, const ComparisonDescriptor &comparisonDescriptor, const char *name=nullptr)=0
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
#define CHECK_LOCATION()
Definition: Exceptions.hpp:169
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199
const ComparisonDescriptor & GetParameters() const
ComparisonDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:337
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
ComparisonLayer(const ComparisonDescriptor &param, const char *name)
void Accept(ILayerVisitor &visitor) const override
ComparisonLayer * Clone(Graph &graph) const override
This layer represents a comparison operation.
virtual std::unique_ptr< IWorkload > CreateComparison(const ComparisonQueueDescriptor &descriptor, const WorkloadInfo &Info) const
const TensorShape & GetShape() const
Definition: Tensor.hpp:88
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Definition: Layer.hpp:312
A ComparisonDescriptor for the ComparisonLayer.
Definition: Descriptors.hpp:62
const InputSlot & GetInputSlot(unsigned int index) const override
Definition: Layer.hpp:310