ArmNN
 21.02
ResizeLayer.cpp
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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 
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.CreateResize(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  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 
52  TensorShape( { outBatch, outHeight, outWidth, outChannels } ) :
53  TensorShape( { outBatch, outChannels, outHeight, outWidth });
54 
56  {
57  throw LayerValidationException("ResizeLayer: AlignCorners cannot be true when HalfPixelCenters is true");
58  }
59 
60  return std::vector<TensorShape>({ tensorShape });
61 }
62 
64 {
66 
67  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
68 
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 
78 void ResizeLayer::Accept(ILayerVisitor& visitor) const
79 {
80  visitor.VisitResizeLayer(this, GetParameters(), GetName());
81 }
82 
83 } // namespace armnn
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ResizeLayer.
Definition: ResizeLayer.cpp:63
ResizeDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
const ResizeDescriptor & GetParameters() const
const TensorShape & GetShape() const
Definition: Tensor.hpp:187
ResizeLayer(const ResizeDescriptor &param, const char *name)
Constructor to create a ResizeLayer.
Definition: ResizeLayer.cpp:21
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:432
Copyright (c) 2021 ARM Limited and Contributors.
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:392
A ResizeDescriptor for the ResizeLayer.
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:348
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:316
virtual std::unique_ptr< IWorkload > CreateResize(const ResizeQueueDescriptor &descriptor, const WorkloadInfo &info) const
Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout...
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: ResizeLayer.cpp:78
uint32_t m_TargetWidth
Target width value.
bool m_HalfPixelCenters
Half Pixel Centers.
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
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, otherwise infers the output shapes from given input shapes and layer properties.
Definition: ResizeLayer.cpp:39
#define CHECK_LOCATION()
Definition: Exceptions.hpp:197
uint32_t m_TargetHeight
Target height value.
virtual void VisitResizeLayer(const IConnectableLayer *layer, const ResizeDescriptor &resizeDescriptor, const char *name=nullptr)=0
Function that a resize layer should call back to when its Accept(ILayerVisitor&) function is invoked...
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:245
bool m_AlignCorners
Aligned corners.
ResizeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ResizeLayer.cpp:34
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Resize type.
Definition: ResizeLayer.cpp:26
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:318
virtual const TensorInfo & GetTensorInfo() const =0
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:311
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63
unsigned int GetChannelsIndex() const
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:408
void Resize(Decoder< float > &in, const TensorInfo &inputInfo, Encoder< float > &out, const TensorInfo &outputInfo, DataLayoutIndexed dataLayout, armnn::ResizeMethod resizeMethod, bool alignCorners, bool halfPixelCenters)
Definition: Resize.cpp:65
This layer represents a resize operation.
Definition: ResizeLayer.hpp:13
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:419