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
|
//
// Copyright © 2019-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ResizeLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <armnnUtils/DataLayoutIndexed.hpp>
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
using namespace armnnUtils;
namespace armnn
{
ResizeLayer::ResizeLayer(const ResizeDescriptor& param, const char* name)
: LayerWithParameters(1, 1, LayerType::Resize, param, name)
{
}
std::unique_ptr<IWorkload> ResizeLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
ResizeQueueDescriptor descriptor;
SetAdditionalInfo(descriptor);
return factory.CreateWorkload(LayerType::Resize, descriptor, PrepInfoAndDesc(descriptor));
}
ResizeLayer* ResizeLayer::Clone(Graph& graph) const
{
return CloneBase<ResizeLayer>(graph, m_Param, GetName());
}
std::vector<TensorShape> ResizeLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
ARMNN_ASSERT(inputShapes.size() == 1);
const TensorShape& inputShape = inputShapes[0];
const DataLayoutIndexed dimensionIndices = m_Param.m_DataLayout;
unsigned int outWidth = m_Param.m_TargetWidth;
unsigned int outHeight = m_Param.m_TargetHeight;
unsigned int outChannels = inputShape[dimensionIndices.GetChannelsIndex()];
unsigned int outBatch = inputShape[0];
TensorShape tensorShape = m_Param.m_DataLayout == armnn::DataLayout::NHWC ?
TensorShape( { outBatch, outHeight, outWidth, outChannels } ) :
TensorShape( { outBatch, outChannels, outHeight, outWidth });
if (m_Param.m_HalfPixelCenters && m_Param.m_AlignCorners)
{
throw LayerValidationException("ResizeLayer: AlignCorners cannot be true when HalfPixelCenters is true");
}
return std::vector<TensorShape>({ tensorShape });
}
void ResizeLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape() });
ARMNN_ASSERT(inferredShapes.size() == 1);
ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ResizeLayer");
}
void ResizeLayer::ExecuteStrategy(IStrategy& strategy) const
{
strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
}
} // namespace armnn
|
