patch/22.08/_elementwise_unary_layer_8cpp_source.xhtml

 //
 // Copyright © 2019 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //

 #include "ElementwiseUnaryLayer.hpp"

 #include "LayerCloneBase.hpp"

 #include <armnn/backends/WorkloadData.hpp>
 #include <armnn/backends/WorkloadFactory.hpp>

 #include <algorithm>

 namespace armnn
 {

 ElementwiseUnaryLayer::ElementwiseUnaryLayer(const ElementwiseUnaryDescriptor& param, const char* name)
     : LayerWithParameters(1, 1, LayerType::ElementwiseUnary, param, name)
 {
 }

 std::unique_ptr<IWorkload> ElementwiseUnaryLayer::CreateWorkload(const IWorkloadFactory& factory) const
 {
     ElementwiseUnaryQueueDescriptor descriptor;
     return factory.CreateWorkload(LayerType::ElementwiseUnary, descriptor, PrepInfoAndDesc(descriptor));
 }

 ElementwiseUnaryLayer* ElementwiseUnaryLayer::Clone(Graph& graph) const
 {
     return CloneBase<ElementwiseUnaryLayer>(graph, m_Param, GetName());
 }

 std::vector<TensorShape> ElementwiseUnaryLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
 {
     // Should return the shape of the input tensor
     ARMNN_ASSERT(inputShapes.size() == 1);
     const TensorShape& input = inputShapes[0];

     return std::vector<TensorShape>({ input });
 }

 void ElementwiseUnaryLayer::ValidateTensorShapesFromInputs()
 {
     VerifyLayerConnections(1, CHECK_LOCATION());

     const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();

     VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);

     std::vector<TensorShape> inferredShapes = InferOutputShapes({
         GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape()});
     ARMNN_ASSERT(inferredShapes.size() == 1);

     ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, GetLayerTypeAsCString(GetType()));
 }

 void ElementwiseUnaryLayer::ExecuteStrategy(IStrategy& strategy) const
 {
     strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
 }

 } // namespace armnn
armnn::LayerType::ElementwiseUnary

+armnn::ElementwiseUnaryLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: ElementwiseUnaryLayer.cpp:58

+armnn::LayerWithParameters< ElementwiseUnaryDescriptor >::m_Param
ElementwiseUnaryDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:52

+armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:191

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

+armnn::ElementwiseUnaryLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the elementwiseUnary type.
Definition: ElementwiseUnaryLayer.cpp:23

+armnn::ElementwiseUnaryLayer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Returns inputShapes by default.
Definition: ElementwiseUnaryLayer.cpp:34

+WorkloadFactory.hpp

+armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:491

+armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6

+armnn::LayerWithParameters< ElementwiseUnaryDescriptor >::GetParameters
const ElementwiseUnaryDescriptor & GetParameters() const override
Definition: LayerWithParameters.hpp:19

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

+armnn::InputSlot::GetConnection
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:206

+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:422

+armnn::ElementwiseUnaryLayer
This layer represents a elementwiseUnary operation.
Definition: ElementwiseUnaryLayer.hpp:14

+ElementwiseUnaryLayer.hpp

+armnn::IStrategy
Definition: IStrategy.hpp:16

+armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:378

+armnn::ElementwiseUnaryLayer::ElementwiseUnaryLayer
ElementwiseUnaryLayer(const ElementwiseUnaryDescriptor &param, const char *name)
Constructor to create a ElementwiseUnaryLayer.
Definition: ElementwiseUnaryLayer.cpp:18

+armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:324

+armnn::Layer::GetType
LayerType GetType() const override
Returns the armnn::LayerType of this layer.
Definition: Layer.hpp:273

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

+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

+CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203

+armnn::Graph
Definition: Graph.hpp:30

+armnn::ElementwiseUnaryDescriptor
A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer.
Definition: Descriptors.hpp:109

+armnn::ElementwiseUnaryLayer::Clone
ElementwiseUnaryLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ElementwiseUnaryLayer.cpp:29

+armnn::ElementwiseUnaryLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ElementwiseUnaryLayer.
Definition: ElementwiseUnaryLayer.cpp:43

+armnn::LayerWithParameters< ElementwiseUnaryDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: LayerWithParameters.hpp:44

+armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:326

+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:319

+armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:14

+armnn::IWorkloadFactory::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const
Definition: WorkloadFactory.cpp:1575

+armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92

+armnn::GetLayerTypeAsCString
const char * GetLayerTypeAsCString(LayerType type)
Definition: InternalTypes.cpp:13

+armnn::ElementwiseUnaryQueueDescriptor
Definition: WorkloadData.hpp:711

+armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:423

+WorkloadData.hpp

+LayerCloneBase.hpp

+armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:468

+