ArmNN
 24.08
ResizeLayer.cpp
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1 //
2 // Copyright © 2019-2024 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 
12 
15 
16 using namespace armnnUtils;
17 
18 namespace armnn
19 {
20 
21 ResizeLayer::ResizeLayer(const ResizeDescriptor& param, const char* name)
22  : LayerWithParameters(1, 1, LayerType::Resize, param, name)
23 {
24 }
25 
26 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 
35 {
36  return CloneBase<ResizeLayer>(graph, m_Param, GetName());
37 }
38 
39 std::vector<TensorShape> ResizeLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
40 {
41  if (inputShapes.size() != 1)
42  {
43  throw armnn::Exception("inputShapes' size is \"" + std::to_string(inputShapes.size()) +
44  "\" - should be \"1\".");
45  }
46 
47  const TensorShape& inputShape = inputShapes[0];
48  const DataLayoutIndexed dimensionIndices = m_Param.m_DataLayout;
49 
50  unsigned int outWidth = m_Param.m_TargetWidth;
51  unsigned int outHeight = m_Param.m_TargetHeight;
52  unsigned int outChannels = inputShape[dimensionIndices.GetChannelsIndex()];
53  unsigned int outBatch = inputShape[0];
54 
56  TensorShape( { outBatch, outHeight, outWidth, outChannels } ) :
57  TensorShape( { outBatch, outChannels, outHeight, outWidth });
58 
60  {
61  throw LayerValidationException("ResizeLayer: AlignCorners cannot be true when HalfPixelCenters is true");
62  }
63 
64  return std::vector<TensorShape>({ tensorShape });
65 }
66 
68 {
70 
71  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
72 
74 
75  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape() });
76 
77  if (inferredShapes.size() != 1)
78  {
79  throw armnn::LayerValidationException("inferredShapes has "
80  + std::to_string(inferredShapes.size()) +
81  " elements - should only have 1.");
82  }
83 
84  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ResizeLayer");
85 }
86 
88 {
89  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
90 }
91 
92 } // namespace armnn
armnn::ResizeDescriptor::m_HalfPixelCenters
bool m_HalfPixelCenters
Half Pixel Centers.
Definition: Descriptors.hpp:1018
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:100
WorkloadData.hpp
armnn::ResizeDescriptor::m_TargetHeight
uint32_t m_TargetHeight
Target height value.
Definition: Descriptors.hpp:1009
armnn::DataLayout::NHWC
@ NHWC
armnn::ResizeDescriptor
A ResizeDescriptor for the ResizeLayer.
Definition: Descriptors.hpp:985
TypesUtils.hpp
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
armnnUtils::DataLayoutIndexed
Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout.
Definition: DataLayoutIndexed.hpp:17
armnn::Layer::ValidateAndCopyShape
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:457
ResizeLayer.hpp
armnn::ResizeDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:1014
armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:339
armnn::ResizeLayer::Clone
ResizeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ResizeLayer.cpp:34
armnn::IStrategy
Definition: IStrategy.hpp:16
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:337
armnn::LayerWithParameters< ResizeDescriptor >::GetParameters
const ResizeDescriptor & GetParameters() const override
Definition: LayerWithParameters.hpp:19
WorkloadFactory.hpp
armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:14
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:332
armnn::InputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Gets the TensorInfo for this InputSlot.
Definition: Layer.cpp:614
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::LayerWithParameters< ResizeDescriptor >::m_Param
ResizeDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:52
armnn::LayerWithParameters< ResizeDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: LayerWithParameters.hpp:44
armnn::LayerValidationException
Definition: Exceptions.hpp:105
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnnUtils
Definition: CompatibleTypes.hpp:10
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:526
armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:303
armnn::ResizeLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ResizeLayer.
Definition: ResizeLayer.cpp:67
armnn::Exception
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46
armnn::ResizeDescriptor::m_TargetWidth
uint32_t m_TargetWidth
Target width value.
Definition: Descriptors.hpp:1007
armnn::Resize
void Resize(Decoder< float > &in, const TensorInfo &inputInfo, Encoder< float > &out, const TensorInfo &outputInfo, DataLayoutIndexed dataLayout, ResizeMethod resizeMethod, bool alignCorners, bool halfPixelCenters)
Definition: Resize.cpp:65
armnn::ResizeDescriptor::m_AlignCorners
bool m_AlignCorners
Aligned corners.
Definition: Descriptors.hpp:1016
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnnUtils::DataLayoutIndexed::GetChannelsIndex
unsigned int GetChannelsIndex() const
Definition: DataLayoutIndexed.hpp:23
armnn::ResizeLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: ResizeLayer.cpp:87
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:410
armnn::LayerType::Resize
@ Resize
armnn::ResizeLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Resize type.
Definition: ResizeLayer.cpp:26
armnn::ResizeLayer
This layer represents a resize operation.
Definition: ResizeLayer.hpp:13
armnn::ResizeLayer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
By default returns inputShapes if the number of inputs are equal to number of outputs,...
Definition: ResizeLayer.cpp:39
armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:441
armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
Definition: Types.hpp:491
DataLayoutIndexed.hpp
armnn::Graph
Definition: Graph.hpp:30
armnn::IWorkloadFactory::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const =0
Backends should implement their own CreateWorkload function with a switch statement.
armnn::IStrategy::ExecuteStrategy
virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0
armnn::ResizeQueueDescriptor
Definition: WorkloadData.hpp:334
LayerCloneBase.hpp
armnn::ResizeLayer::ResizeLayer
ResizeLayer(const ResizeDescriptor &param, const char *name)
Constructor to create a ResizeLayer.
Definition: ResizeLayer.cpp:21