1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
|
//
// Copyright © 2019 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ComparisonLayer.hpp"
#include "LayerCloneBase.hpp"
#include <backendsCommon/WorkloadData.hpp>
#include <backendsCommon/WorkloadFactory.hpp>
#include <algorithm>
namespace armnn
{
ComparisonLayer::ComparisonLayer(const ComparisonDescriptor& param, const char* name)
: LayerWithParameters(2, 1, LayerType::Comparison, param, name)
{
}
std::unique_ptr<IWorkload> ComparisonLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
ComparisonQueueDescriptor descriptor;
SetAdditionalInfo(descriptor);
return factory.CreateComparison(descriptor, PrepInfoAndDesc(descriptor));
}
ComparisonLayer* ComparisonLayer::Clone(Graph& graph) const
{
return CloneBase<ComparisonLayer>(graph, m_Param, GetName());
}
std::vector<TensorShape> ComparisonLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
ARMNN_ASSERT(inputShapes.size() == 2);
const TensorShape& input0 = inputShapes[0];
const TensorShape& input1 = inputShapes[1];
ARMNN_ASSERT(input0.GetNumDimensions() == input1.GetNumDimensions());
unsigned int numDims = input0.GetNumDimensions();
std::vector<unsigned int> dims(numDims);
for (unsigned int i = 0; i < numDims; i++)
{
unsigned int dim0 = input0[i];
unsigned int dim1 = input1[i];
ARMNN_ASSERT_MSG(dim0 == dim1 || dim0 == 1 || dim1 == 1,
"Dimensions should either match or one should be of size 1.");
dims[i] = std::max(dim0, dim1);
}
return std::vector<TensorShape>({ TensorShape(numDims, dims.data()) });
}
void ComparisonLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(2, CHECK_LOCATION());
const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
std::vector<TensorShape> inferredShapes = InferOutputShapes({
GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(),
GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape()
});
ARMNN_ASSERT(inferredShapes.size() == 1);
ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ComparisonLayer");
}
ARMNN_NO_DEPRECATE_WARN_BEGIN
void ComparisonLayer::Accept(ILayerVisitor& visitor) const
{
visitor.VisitComparisonLayer(this, GetParameters(), GetName());
}
ARMNN_NO_DEPRECATE_WARN_END
} // namespace armnn
|
