patch/21.05/_resize_layer_8cpp_source.xhtml

 //
 // Copyright © 2017 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 <backendsCommon/WorkloadData.hpp>
 #include <backendsCommon/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.CreateResize(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).GetConnection()->GetTensorInfo().GetShape() });

     ARMNN_ASSERT(inferredShapes.size() == 1);

     ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ResizeLayer");
 }

 void ResizeLayer::Accept(ILayerVisitor& visitor) const
 {
     visitor.VisitResizeLayer(this, GetParameters(), GetName());
 }

 } // namespace armnn
armnn::ResizeLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ResizeLayer.
Definition: ResizeLayer.cpp:63

+WorkloadData.hpp

+DataLayoutIndexed.hpp

+armnn::LayerWithParameters< ResizeDescriptor >::m_Param
ResizeDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:50

+armnn::LayerWithParameters< ResizeDescriptor >::GetParameters
const ResizeDescriptor & GetParameters() const
Definition: LayerWithParameters.hpp:18

+armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:187

+WorkloadFactory.hpp

+armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22

+armnn::ResizeLayer::ResizeLayer
ResizeLayer(const ResizeDescriptor &param, const char *name)
Constructor to create a ResizeLayer.
Definition: ResizeLayer.cpp:21

+armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:433

+armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_software_tools.dox:6

+armnn::TensorShape
Definition: Tensor.hpp:20

+armnn::InputSlot::GetConnection
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199

+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:393

+armnn::ResizeDescriptor
A ResizeDescriptor for the ResizeLayer.
Definition: Descriptors.hpp:802

+armnn::ResizeQueueDescriptor
Definition: WorkloadData.hpp:326

+armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:349

+armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:316

+TypesUtils.hpp

+armnn::IWorkloadFactory::CreateResize
virtual std::unique_ptr< IWorkload > CreateResize(const ResizeQueueDescriptor &descriptor, const WorkloadInfo &info) const
Definition: WorkloadFactory.cpp:1664

+armnnUtils::DataLayoutIndexed
Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout...
Definition: DataLayoutIndexed.hpp:17

+armnn::ResizeLayer::Accept
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: ResizeLayer.cpp:78

+armnn::LayerValidationException
Definition: Exceptions.hpp:105

+armnn::ResizeDescriptor::m_TargetWidth
uint32_t m_TargetWidth
Target width value.
Definition: Descriptors.hpp:824

+armnn::ResizeDescriptor::m_HalfPixelCenters
bool m_HalfPixelCenters
Half Pixel Centers.
Definition: Descriptors.hpp:835

+ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14

+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, otherwise infers the output shapes from given input shapes and layer properties.
Definition: ResizeLayer.cpp:39

+CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:197

+armnn::ResizeDescriptor::m_TargetHeight
uint32_t m_TargetHeight
Target height value.
Definition: Descriptors.hpp:826

+armnn::Graph
Definition: Graph.hpp:29

+armnn::ILayerVisitor::VisitResizeLayer
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...

+ResizeLayer.hpp

+armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:245

+armnn::ResizeDescriptor::m_AlignCorners
bool m_AlignCorners
Aligned corners.
Definition: Descriptors.hpp:833

+armnn::ResizeLayer::Clone
ResizeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ResizeLayer.cpp:34

+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::LayerWithParameters< ResizeDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: LayerWithParameters.hpp:43

+armnn::ILayerVisitor
Definition: ILayerVisitor.hpp:16

+armnnUtils
Definition: DataLayoutIndexed.hpp:13

+armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:318

+armnn::IOutputSlot::GetTensorInfo
virtual const TensorInfo & GetTensorInfo() const =0

+armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:311

+armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:13

+armnn::ResizeDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:831

+armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63

+armnnUtils::DataLayoutIndexed::GetChannelsIndex
unsigned int GetChannelsIndex() const
Definition: DataLayoutIndexed.hpp:23

+armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:408

+armnn::Resize
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

+armnn::DataLayout::NHWC

+LayerCloneBase.hpp

+armnn::ResizeLayer
This layer represents a resize operation.
Definition: ResizeLayer.hpp:13

+armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:455

+