ArmNN
 21.02
Pooling2dLayer.hpp
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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 Accept(ILayerVisitor& visitor) const override;
38 
39 protected:
40  /// Constructor to create a Pooling2dLayer.
41  /// @param [in] param Pooling2dDescriptor to configure the pooling2d operation.
42  /// @param [in] name Optional name for the layer.
43  Pooling2dLayer(const Pooling2dDescriptor& param, const char* name);
44 
45  /// Default destructor
46  ~Pooling2dLayer() = default;
47 };
48 
49 } // namespace
~Pooling2dLayer()=default
Default destructor.
Pooling2dLayer(const Pooling2dDescriptor &param, const char *name)
Constructor to create a Pooling2dLayer.
Copyright (c) 2021 ARM Limited and Contributors.
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Pooling2dLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
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, otherwise infers the output shapes from given input shapes and layer properties.
This layer represents a pooling 2d operation.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of Pooling2dLayer.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Pooling2d type.
A Pooling2dDescriptor for the Pooling2dLayer.