ArmNN
 24.08
ElementwiseUnaryLayer.cpp
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1 //
2 // Copyright © 2020-2024 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
7 
8 #include "LayerCloneBase.hpp"
9 
12 
13 #include <algorithm>
14 
15 namespace armnn
16 {
17 
19  : LayerWithParameters(1, 1, LayerType::ElementwiseUnary, param, name)
20 {
21 }
22 
23 std::unique_ptr<IWorkload> ElementwiseUnaryLayer::CreateWorkload(const IWorkloadFactory& factory) const
24 {
26  return factory.CreateWorkload(LayerType::ElementwiseUnary, descriptor, PrepInfoAndDesc(descriptor));
27 }
28 
30 {
31  return CloneBase<ElementwiseUnaryLayer>(graph, m_Param, GetName());
32 }
33 
34 std::vector<TensorShape> ElementwiseUnaryLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
35 {
36  // Should return the shape of the input tensor
37  if (inputShapes.size() != 1)
38  {
39  throw armnn::Exception("inputShapes' size is \"" + std::to_string(inputShapes.size()) +
40  "\" - should be \"1\".");
41  }
42 
43  const TensorShape& input = inputShapes[0];
44 
45  return std::vector<TensorShape>({ input });
46 }
47 
49 {
51 
52  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
53 
55 
56  std::vector<TensorShape> inferredShapes = InferOutputShapes({
58 
59  if (inferredShapes.size() != 1)
60  {
61  throw armnn::Exception("inferredShapes has "
62  + std::to_string(inferredShapes.size()) +
63  " elements - should only have 1.");
64  }
65 
66  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, GetLayerTypeAsCString(GetType()));
67 }
68 
70 {
71  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
72 }
73 
74 } // namespace armnn
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::GetLayerTypeAsCString
const char * GetLayerTypeAsCString(LayerType type)
Definition: InternalTypes.cpp:13
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:100
WorkloadData.hpp
armnn::ElementwiseUnaryLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ElementwiseUnaryLayer.
Definition: ElementwiseUnaryLayer.cpp:48
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
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
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::IStrategy
Definition: IStrategy.hpp:16
armnn::LayerType::ElementwiseUnary
@ ElementwiseUnary
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< ElementwiseUnaryDescriptor >::GetParameters
const ElementwiseUnaryDescriptor & 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< ElementwiseUnaryDescriptor >::m_Param
ElementwiseUnaryDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:52
armnn::ElementwiseUnaryQueueDescriptor
Definition: WorkloadData.hpp:676
armnn::LayerWithParameters< ElementwiseUnaryDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: LayerWithParameters.hpp:44
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:526
armnn::Exception
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46
armnn::ElementwiseUnaryLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: ElementwiseUnaryLayer.cpp:69
armnn::Layer::GetType
LayerType GetType() const override
Returns the armnn::LayerType of this layer.
Definition: Layer.hpp:286
ElementwiseUnaryLayer.hpp
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn::ElementwiseUnaryLayer::ElementwiseUnaryLayer
ElementwiseUnaryLayer(const ElementwiseUnaryDescriptor &param, const char *name)
Constructor to create a ElementwiseUnaryLayer.
Definition: ElementwiseUnaryLayer.cpp:18
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::ElementwiseUnaryDescriptor
A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer.
Definition: Descriptors.hpp:129
armnn::ElementwiseUnaryLayer
This layer represents a elementwiseUnary operation.
Definition: ElementwiseUnaryLayer.hpp:14
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:410
armnn::ElementwiseUnaryLayer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Returns inputShapes by default.
Definition: ElementwiseUnaryLayer.cpp:34
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
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
LayerCloneBase.hpp
armnn::ElementwiseUnaryLayer::Clone
ElementwiseUnaryLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ElementwiseUnaryLayer.cpp:29