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
99
100
101
102
103
104
105
106
107
|
//
// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "BatchNormalizationLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <armnn/backends/TensorHandle.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
namespace armnn
{
BatchNormalizationLayer::BatchNormalizationLayer(const armnn::BatchNormalizationDescriptor& param, const char* name)
: LayerWithParameters(1, 1, LayerType::BatchNormalization, param, name)
{
}
std::unique_ptr<IWorkload> BatchNormalizationLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
// on this level constant data should not be released..
ARMNN_ASSERT_MSG(m_Mean != nullptr, "BatchNormalizationLayer: Mean data should not be null.");
ARMNN_ASSERT_MSG(m_Variance != nullptr, "BatchNormalizationLayer: Variance data should not be null.");
ARMNN_ASSERT_MSG(m_Beta != nullptr, "BatchNormalizationLayer: Beta data should not be null.");
ARMNN_ASSERT_MSG(m_Gamma != nullptr, "BatchNormalizationLayer: Gamma data should not be null.");
BatchNormalizationQueueDescriptor descriptor;
SetAdditionalInfo(descriptor);
descriptor.m_Mean = m_Mean.get();
descriptor.m_Variance = m_Variance.get();
descriptor.m_Beta = m_Beta.get();
descriptor.m_Gamma = m_Gamma.get();
return factory.CreateWorkload(LayerType::BatchNormalization, descriptor, PrepInfoAndDesc(descriptor));
}
BatchNormalizationLayer* BatchNormalizationLayer::Clone(Graph& graph) const
{
auto layer = CloneBase<BatchNormalizationLayer>(graph, m_Param, GetName());
layer->m_Mean = m_Mean ? m_Mean : nullptr;
layer->m_Variance = m_Variance ? m_Variance : nullptr;
layer->m_Beta = m_Beta ? m_Beta : nullptr;
layer->m_Gamma = m_Gamma ? m_Gamma : nullptr;
return std::move(layer);
}
void BatchNormalizationLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
ARMNN_ASSERT(inferredShapes.size() == 1);
ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "BatchNormalizationLayer");
}
Layer::ConstantTensors BatchNormalizationLayer::GetConstantTensorsByRef()
{
// For API stability DO NOT ALTER order and add new members to the end of vector
return {m_Mean, m_Variance, m_Beta, m_Gamma};
}
ARMNN_NO_DEPRECATE_WARN_BEGIN
void BatchNormalizationLayer::Accept(ILayerVisitor& visitor) const
{
ManagedConstTensorHandle managedMean(m_Mean);
ManagedConstTensorHandle managedVariance(m_Variance);
ManagedConstTensorHandle managedBeta(m_Beta);
ManagedConstTensorHandle managedGamma(m_Gamma);
ConstTensor meanTensor(managedMean.GetTensorInfo(), managedMean.Map());
ConstTensor varianceTensor(managedVariance.GetTensorInfo(), managedVariance.Map());
ConstTensor betaTensor(managedBeta.GetTensorInfo(), managedBeta.Map());
ConstTensor gammaTensor(managedGamma.GetTensorInfo(), managedGamma.Map());
visitor.VisitBatchNormalizationLayer(
this, GetParameters(), meanTensor, varianceTensor, betaTensor, gammaTensor, GetName());
}
ARMNN_NO_DEPRECATE_WARN_END
void BatchNormalizationLayer::ExecuteStrategy(IStrategy& strategy) const
{
ManagedConstTensorHandle managedMean(m_Mean);
ManagedConstTensorHandle managedVariance(m_Variance);
ManagedConstTensorHandle managedBeta(m_Beta);
ManagedConstTensorHandle managedGamma(m_Gamma);
std::vector<armnn::ConstTensor> constTensors { { managedMean.GetTensorInfo(), managedMean.Map() },
{ managedVariance.GetTensorInfo(), managedVariance.Map() },
{ managedBeta.GetTensorInfo(), managedBeta.Map() },
{ managedGamma.GetTensorInfo(), managedGamma.Map() } };
strategy.ExecuteStrategy(this, GetParameters(), constTensors, GetName());
}
} // namespace armnn
|
