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
85
86
87
88
89
90
91
92
93
94
95
96
97
98
|
//
// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "DetectionPostProcessLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <armnn/backends/TensorHandle.hpp>
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
namespace armnn
{
DetectionPostProcessLayer::DetectionPostProcessLayer(const DetectionPostProcessDescriptor& param, const char* name)
: LayerWithParameters(2, 4, LayerType::DetectionPostProcess, param, name)
{
}
std::unique_ptr<IWorkload> DetectionPostProcessLayer::CreateWorkload(const armnn::IWorkloadFactory& factory) const
{
DetectionPostProcessQueueDescriptor descriptor;
descriptor.m_Anchors = m_Anchors.get();
SetAdditionalInfo(descriptor);
return factory.CreateWorkload(LayerType::DetectionPostProcess, descriptor, PrepInfoAndDesc(descriptor));
}
DetectionPostProcessLayer* DetectionPostProcessLayer::Clone(Graph& graph) const
{
auto layer = CloneBase<DetectionPostProcessLayer>(graph, m_Param, GetName());
layer->m_Anchors = m_Anchors ? m_Anchors : nullptr;
return std::move(layer);
}
void DetectionPostProcessLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(2, CHECK_LOCATION());
const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
// on this level constant data should not be released.
ARMNN_ASSERT_MSG(m_Anchors != nullptr, "DetectionPostProcessLayer: Anchors data should not be null.");
ARMNN_ASSERT_MSG(GetNumOutputSlots() == 4, "DetectionPostProcessLayer: The layer should return 4 outputs.");
unsigned int detectedBoxes = m_Param.m_MaxDetections * m_Param.m_MaxClassesPerDetection;
const TensorShape& inferredDetectionBoxes = TensorShape({ 1, detectedBoxes, 4 });
const TensorShape& inferredDetectionScores = TensorShape({ 1, detectedBoxes });
const TensorShape& inferredNumberDetections = TensorShape({ 1 });
ValidateAndCopyShape(outputShape, inferredDetectionBoxes, m_ShapeInferenceMethod, "DetectionPostProcessLayer");
ValidateAndCopyShape(GetOutputSlot(1).GetTensorInfo().GetShape(),
inferredDetectionScores,
m_ShapeInferenceMethod,
"DetectionPostProcessLayer", 1);
ValidateAndCopyShape(GetOutputSlot(2).GetTensorInfo().GetShape(),
inferredDetectionScores,
m_ShapeInferenceMethod,
"DetectionPostProcessLayer", 2);
ValidateAndCopyShape(GetOutputSlot(3).GetTensorInfo().GetShape(),
inferredNumberDetections,
m_ShapeInferenceMethod,
"DetectionPostProcessLayer", 3);
}
Layer::ConstantTensors DetectionPostProcessLayer::GetConstantTensorsByRef()
{
return { m_Anchors };
}
ARMNN_NO_DEPRECATE_WARN_BEGIN
void DetectionPostProcessLayer::Accept(ILayerVisitor& visitor) const
{
ManagedConstTensorHandle managedAnchors(m_Anchors);
ConstTensor anchorTensor(managedAnchors.GetTensorInfo(), managedAnchors.Map());
visitor.VisitDetectionPostProcessLayer(this, GetParameters(), anchorTensor, GetName());
m_Anchors->Unmap();
}
ARMNN_NO_DEPRECATE_WARN_END
void DetectionPostProcessLayer::ExecuteStrategy(IStrategy& strategy) const
{
ManagedConstTensorHandle managedAnchors(m_Anchors);
std::vector<armnn::ConstTensor> constTensors { {managedAnchors.GetTensorInfo(), managedAnchors.Map()} };
strategy.ExecuteStrategy(this, GetParameters(), constTensors, GetName());
}
} // namespace armnn
|
