1 //
2 // Copyright © 2019 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "ComparisonLayer.hpp"
7
8 #include "LayerCloneBase.hpp"
9
10 #include <backendsCommon/WorkloadData.hpp>
11 #include <backendsCommon/WorkloadFactory.hpp>
12
13 #include <algorithm>
14
15 namespace armnn
16 {
17
ComparisonLayer(const ComparisonDescriptor & param,const char * name)18 ComparisonLayer::ComparisonLayer(const ComparisonDescriptor& param, const char* name)
19 : LayerWithParameters(2, 1, LayerType::Comparison, param, name)
20 {
21 }
22
CreateWorkload(const IWorkloadFactory & factory) const23 std::unique_ptr<IWorkload> ComparisonLayer::CreateWorkload(const IWorkloadFactory& factory) const
24 {
25 ComparisonQueueDescriptor descriptor;
26 SetAdditionalInfo(descriptor);
27
28 return factory.CreateComparison(descriptor, PrepInfoAndDesc(descriptor));
29 }
30
Clone(Graph & graph) const31 ComparisonLayer* ComparisonLayer::Clone(Graph& graph) const
32 {
33 return CloneBase<ComparisonLayer>(graph, m_Param, GetName());
34 }
35
InferOutputShapes(const std::vector<TensorShape> & inputShapes) const36 std::vector<TensorShape> ComparisonLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
37 {
38 ARMNN_ASSERT(inputShapes.size() == 2);
39 const TensorShape& input0 = inputShapes[0];
40 const TensorShape& input1 = inputShapes[1];
41
42 ARMNN_ASSERT(input0.GetNumDimensions() == input1.GetNumDimensions());
43 unsigned int numDims = input0.GetNumDimensions();
44
45 std::vector<unsigned int> dims(numDims);
46 for (unsigned int i = 0; i < numDims; i++)
47 {
48 unsigned int dim0 = input0[i];
49 unsigned int dim1 = input1[i];
50
51 ARMNN_ASSERT_MSG(dim0 == dim1 || dim0 == 1 || dim1 == 1,
52 "Dimensions should either match or one should be of size 1.");
53
54 dims[i] = std::max(dim0, dim1);
55 }
56
57 return std::vector<TensorShape>({ TensorShape(numDims, dims.data()) });
58 }
59
ValidateTensorShapesFromInputs()60 void ComparisonLayer::ValidateTensorShapesFromInputs()
61 {
62 VerifyLayerConnections(2, CHECK_LOCATION());
63
64 const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
65
66 VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
67
68 std::vector<TensorShape> inferredShapes = InferOutputShapes({
69 GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(),
70 GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape()
71 });
72 ARMNN_ASSERT(inferredShapes.size() == 1);
73
74 ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ComparisonLayer");
75 }
76
Accept(ILayerVisitor & visitor) const77 void ComparisonLayer::Accept(ILayerVisitor& visitor) const
78 {
79 visitor.VisitComparisonLayer(this, GetParameters(), GetName());
80 }
81
82 } // namespace armnn
83