ArmNN
 24.02
Pooling2dLayer.hpp
Go to the documentation of this file.
1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #pragma once
6 
8 
9 namespace armnn
10 {
11 
12 /// This layer represents a pooling 2d operation.
13 class Pooling2dLayer : public LayerWithParameters<Pooling2dDescriptor>
14 {
15 public:
16  /// Makes a workload for the Pooling2d type.
17  /// @param [in] graph The graph where this layer can be found.
18  /// @param [in] factory The workload factory which will create the workload.
19  /// @return A pointer to the created workload, or nullptr if not created.
20  virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
21 
22  /// Creates a dynamically-allocated copy of this layer.
23  /// @param [in] graph The graph into which this layer is being cloned.
24  Pooling2dLayer* Clone(Graph& graph) const override;
25 
26  /// Check if the input tensor shape(s)
27  /// will lead to a valid configuration of @ref Pooling2dLayer.
28  /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
29  void ValidateTensorShapesFromInputs() override;
30 
31  /// By default returns inputShapes if the number of inputs are equal to number of outputs,
32  /// otherwise infers the output shapes from given input shapes and layer properties.
33  /// @param [in] inputShapes The input shapes layer has.
34  /// @return A vector to the inferred output shape.
35  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
36 
37  void ExecuteStrategy(IStrategy& strategy) const override;
38 
39 
40 protected:
41  /// Constructor to create a Pooling2dLayer.
42  /// @param [in] param Pooling2dDescriptor to configure the pooling2d operation.
43  /// @param [in] name Optional name for the layer.
44  Pooling2dLayer(const Pooling2dDescriptor& param, const char* name);
45 
46  /// Default destructor
47  ~Pooling2dLayer() = default;
48 };
49 
50 } // namespace
armnn::Pooling2dLayer::~Pooling2dLayer
~Pooling2dLayer()=default
Default destructor.
armnn::Pooling2dLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of Pooling2dLayer.
Definition: Pooling2dLayer.cpp:105
armnn::IStrategy
Definition: IStrategy.hpp:16
armnn::Pooling2dLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: Pooling2dLayer.cpp:120
armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:14
armnn::Pooling2dLayer::Pooling2dLayer
Pooling2dLayer(const Pooling2dDescriptor &param, const char *name)
Constructor to create a Pooling2dLayer.
Definition: Pooling2dLayer.cpp:22
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::Pooling2dLayer::Clone
Pooling2dLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: Pooling2dLayer.cpp:35
armnn::Pooling2dLayer
This layer represents a pooling 2d operation.
Definition: Pooling2dLayer.hpp:13
LayerWithParameters.hpp
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::Pooling2dLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Pooling2d type.
Definition: Pooling2dLayer.cpp:27
armnn::Pooling2dLayer::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: Pooling2dLayer.cpp:40
armnn::Pooling2dDescriptor
A Pooling2dDescriptor for the Pooling2dLayer.
Definition: Descriptors.hpp:371
armnn::Graph
Definition: Graph.hpp:30