1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "SpaceToBatchNdLayer.hpp"
7 #include "LayerCloneBase.hpp"
8
9 #include <armnn/TypesUtils.hpp>
10
11 #include <armnnUtils/DataLayoutIndexed.hpp>
12
13 #include <armnn/backends/WorkloadData.hpp>
14 #include <armnn/backends/WorkloadFactory.hpp>
15
16 #include <numeric>
17
18 using namespace armnnUtils;
19
20 namespace armnn
21 {
22
SpaceToBatchNdLayer(const SpaceToBatchNdDescriptor param,const char * name)23 SpaceToBatchNdLayer::SpaceToBatchNdLayer(const SpaceToBatchNdDescriptor param, const char* name)
24 : LayerWithParameters(1, 1, LayerType::SpaceToBatchNd, param, name)
25 {}
26
CreateWorkload(const IWorkloadFactory & factory) const27 std::unique_ptr<IWorkload> SpaceToBatchNdLayer::CreateWorkload(const IWorkloadFactory& factory) const
28 {
29 SpaceToBatchNdQueueDescriptor descriptor;
30 descriptor.m_Parameters.m_BlockShape = m_Param.m_BlockShape;
31 descriptor.m_Parameters.m_PadList = m_Param.m_PadList;
32 SetAdditionalInfo(descriptor);
33
34 return factory.CreateWorkload(LayerType::SpaceToBatchNd, descriptor, PrepInfoAndDesc(descriptor));
35 }
36
Clone(Graph & graph) const37 SpaceToBatchNdLayer* SpaceToBatchNdLayer::Clone(Graph& graph) const
38 {
39 IgnoreUnused(graph);
40 return CloneBase<SpaceToBatchNdLayer>(graph, m_Param, GetName());
41 }
42
InferOutputShapes(const std::vector<TensorShape> & inputShapes) const43 std::vector<TensorShape> SpaceToBatchNdLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
44 {
45 ARMNN_ASSERT(inputShapes.size() == 1);
46
47 TensorShape inputShape = inputShapes[0];
48 TensorShape outputShape(inputShape);
49
50 outputShape[0] = inputShape[0] * std::accumulate(m_Param.m_BlockShape.begin(),
51 m_Param.m_BlockShape.end(),
52 1U,
53 std::multiplies<>());
54
55 DataLayoutIndexed dimensionIndices = m_Param.m_DataLayout;
56 unsigned int heightIndex = dimensionIndices.GetHeightIndex();
57 unsigned int widthIndex = dimensionIndices.GetWidthIndex();
58
59 std::pair<unsigned int, unsigned int> heightPad = m_Param.m_PadList[0];
60 std::pair<unsigned int, unsigned int> widthPad = m_Param.m_PadList[1];
61
62 outputShape[heightIndex] =
63 (inputShape[heightIndex] + heightPad.first + heightPad.second) / m_Param.m_BlockShape[0];
64 outputShape[widthIndex] =
65 (inputShape[widthIndex] + widthPad.first + widthPad.second) / m_Param.m_BlockShape[1];
66
67 return std::vector<TensorShape>({ outputShape });
68 }
69
ValidateTensorShapesFromInputs()70 void SpaceToBatchNdLayer::ValidateTensorShapesFromInputs()
71 {
72 VerifyLayerConnections(1, CHECK_LOCATION());
73
74 const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
75
76 VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
77
78 std::vector<TensorShape> inferredShapes = InferOutputShapes({
79 GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
80
81 ARMNN_ASSERT(inferredShapes.size() == 1);
82
83 ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "SpaceToBatchNdLayer");
84 }
85
ExecuteStrategy(IStrategy & strategy) const86 void SpaceToBatchNdLayer::ExecuteStrategy(IStrategy& strategy) const
87 {
88 strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
89 }
90
91 } // namespace
92