ArmNN
 24.02
PreluLayer.hpp
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1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #pragma once
7 
9 
10 namespace armnn
11 {
12 
13 // This layer represents a PReLU activation operation.
14 class PreluLayer : public Layer
15 {
16 public:
17  /// Makes a workload for the PReLU type.
18  /// @param [in] graph The graph where this layer can be found.
19  /// @param [in] factory The workload factory which will create the workload.
20  /// @return A pointer to the created workload, or nullptr if not created.
21  virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
22 
23  /// Creates a dynamically-allocated copy of this layer.
24  /// @param [in] graph The graph into which this layer is being cloned.
25  PreluLayer* Clone(Graph& graph) const override;
26 
27  /// By default returns inputShapes if the number of inputs are equal to number of outputs,
28  /// otherwise infers the output shapes from given input shapes and layer properties.
29  /// @param [in] inputShapes The input shapes layer has.
30  /// @return A vector to the inferred output shape.
31  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
32 
33  /// Check if the input tensor shape(s)
34  /// will lead to a valid configuration of @ref PreluLayer.
35  /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
36  void ValidateTensorShapesFromInputs() override;
37 
38  void ExecuteStrategy(IStrategy& strategy) const override;
39 
40 
41 protected:
42  /// Constructor to create a PreluLayer.
43  /// @param [in] name Optional name for the layer.
44  PreluLayer(const char* name);
45 
46  /// Default destructor
47  ~PreluLayer() = default;
48 };
49 
50 } // namespace armnn
armnn::PreluLayer::PreluLayer
PreluLayer(const char *name)
Constructor to create a PreluLayer.
Definition: PreluLayer.cpp:19
armnn::PreluLayer
Definition: PreluLayer.hpp:14
armnn::IStrategy
Definition: IStrategy.hpp:16
armnn::Layer
Definition: Layer.hpp:230
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::PreluLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the PReLU type.
Definition: PreluLayer.cpp:23
LayerWithParameters.hpp
armnn::PreluLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: PreluLayer.cpp:119
armnn::PreluLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of PreluLayer.
Definition: PreluLayer.cpp:100
armnn::PreluLayer::Clone
PreluLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: PreluLayer.cpp:31
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::PreluLayer::~PreluLayer
~PreluLayer()=default
Default destructor.
armnn::PreluLayer::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,...
Definition: PreluLayer.cpp:38
armnn::Graph
Definition: Graph.hpp:30