ArmNN
 23.02
ActivationLayer.cpp
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1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #include "ActivationLayer.hpp"
6 #include "LayerCloneBase.hpp"
7 
8 #include <armnn/TypesUtils.hpp>
11 
12 namespace armnn
13 {
14 
16  : LayerWithParameters(1, 1, LayerType::Activation, param, name)
17 {
18 }
19 
20 std::unique_ptr<IWorkload> ActivationLayer::CreateWorkload(const IWorkloadFactory& factory) const
21 {
22  ActivationQueueDescriptor descriptor;
23  SetAdditionalInfo(descriptor);
24 
25  return factory.CreateWorkload(LayerType::Activation, descriptor, PrepInfoAndDesc(descriptor));
26 }
27 
29 {
30  return CloneBase<ActivationLayer>(graph, m_Param, GetName());
31 }
32 
34 {
36 
37  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
38 
40 
41  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
42 
43  ARMNN_ASSERT(inferredShapes.size() == 1);
44 
45  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ActivationLayer");
46 }
47 
49 {
50  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
51 }
52 
53 } // namespace armnn
armnn::ActivationLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: ActivationLayer.cpp:48
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
armnn::ActivationDescriptor
An ActivationDescriptor for the ActivationLayer.
Definition: Descriptors.hpp:36
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:378
armnn::InputSlot::GetConnection
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:206
armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:14
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:491
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
WorkloadFactory.hpp
armnn::ActivationLayer
This layer represents an activation operation with the specified activation function.
Definition: ActivationLayer.hpp:12
armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:274
armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:423
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
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::IStrategy
Definition: IStrategy.hpp:16
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92
ActivationLayer.hpp
armnn::LayerType::Activation
@ Activation
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
Definition: Types.hpp:466
armnn::IOutputSlot::GetTensorInfo
virtual const TensorInfo & GetTensorInfo() const =0
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::LayerWithParameters< ActivationDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: LayerWithParameters.hpp:44
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
LayerCloneBase.hpp
armnn::ActivationLayer::Clone
ActivationLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ActivationLayer.cpp:28
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::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::Graph
Definition: Graph.hpp:30
ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
armnn::Activation
float Activation(float in, ActivationFunction function, float a, float b)
Definition: Activation.cpp:13
armnn::ActivationLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Activation type.
Definition: ActivationLayer.cpp:20
armnn::IWorkloadFactory::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const
Definition: WorkloadFactory.cpp:1561
armnn::ActivationQueueDescriptor
Definition: WorkloadData.hpp:158
armnn::ActivationLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ActivationLayer.
Definition: ActivationLayer.cpp:33
armnn::ActivationLayer::ActivationLayer
ActivationLayer(const ActivationDescriptor &param, const char *name)
Constructor to create an ActivationLayer.
Definition: ActivationLayer.cpp:15
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:319
TypesUtils.hpp
WorkloadData.hpp
armnn::LayerWithParameters< ActivationDescriptor >::GetParameters
const ActivationDescriptor & GetParameters() const override
Definition: LayerWithParameters.hpp:19
armnn::LayerWithParameters< ActivationDescriptor >::m_Param
ActivationDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:52
armnn::Layer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infer the shape of the output(s) based on the provided input shape(s)
Definition: Layer.cpp:397