1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "ResizeLayer.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 using namespace armnnUtils;
17
18 namespace armnn
19 {
20
ResizeLayer(const ResizeDescriptor & param,const char * name)21 ResizeLayer::ResizeLayer(const ResizeDescriptor& param, const char* name)
22 : LayerWithParameters(1, 1, LayerType::Resize, param, name)
23 {
24 }
25
CreateWorkload(const IWorkloadFactory & factory) const26 std::unique_ptr<IWorkload> ResizeLayer::CreateWorkload(const IWorkloadFactory& factory) const
27 {
28 ResizeQueueDescriptor descriptor;
29 SetAdditionalInfo(descriptor);
30
31 return factory.CreateWorkload(LayerType::Resize, descriptor, PrepInfoAndDesc(descriptor));
32 }
33
Clone(Graph & graph) const34 ResizeLayer* ResizeLayer::Clone(Graph& graph) const
35 {
36 return CloneBase<ResizeLayer>(graph, m_Param, GetName());
37 }
38
InferOutputShapes(const std::vector<TensorShape> & inputShapes) const39 std::vector<TensorShape> ResizeLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
40 {
41 ARMNN_ASSERT(inputShapes.size() == 1);
42
43 const TensorShape& inputShape = inputShapes[0];
44 const DataLayoutIndexed dimensionIndices = m_Param.m_DataLayout;
45
46 unsigned int outWidth = m_Param.m_TargetWidth;
47 unsigned int outHeight = m_Param.m_TargetHeight;
48 unsigned int outChannels = inputShape[dimensionIndices.GetChannelsIndex()];
49 unsigned int outBatch = inputShape[0];
50
51 TensorShape tensorShape = m_Param.m_DataLayout == armnn::DataLayout::NHWC ?
52 TensorShape( { outBatch, outHeight, outWidth, outChannels } ) :
53 TensorShape( { outBatch, outChannels, outHeight, outWidth });
54
55 if (m_Param.m_HalfPixelCenters && m_Param.m_AlignCorners)
56 {
57 throw LayerValidationException("ResizeLayer: AlignCorners cannot be true when HalfPixelCenters is true");
58 }
59
60 return std::vector<TensorShape>({ tensorShape });
61 }
62
ValidateTensorShapesFromInputs()63 void ResizeLayer::ValidateTensorShapesFromInputs()
64 {
65 VerifyLayerConnections(1, CHECK_LOCATION());
66
67 const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
68
69 VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
70
71 auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
72
73 ARMNN_ASSERT(inferredShapes.size() == 1);
74
75 ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ResizeLayer");
76 }
77
ExecuteStrategy(IStrategy & strategy) const78 void ResizeLayer::ExecuteStrategy(IStrategy& strategy) const
79 {
80 strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
81 }
82
83 } // namespace armnn
84