ArmNN
 24.02
MeanLayer.hpp
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1 //
2 // Copyright © 2017-2023 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 mean operation.
14 class MeanLayer : public LayerWithParameters<MeanDescriptor>
15 {
16 public:
17  /// Makes a workload for the Mean 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  MeanLayer* Clone(Graph& graph) const override;
26 
27  /// Check if the input tensor shape(s)
28  /// will lead to a valid configuration of @ref MeanLayer.
29  /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
30  void ValidateTensorShapesFromInputs() override;
31 
32  /// By default returns inputShapes if the number of inputs are equal to number of outputs,
33  /// otherwise infers the output shapes from given input shapes and layer properties.
34  /// @param [in] inputShapes The input shapes layer has.
35  /// @return A vector to the inferred output shape.
36  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
37 
38  void ExecuteStrategy(IStrategy& strategy) const override;
39 
40 protected:
41  /// Constructor to create a MeanLayer.
42  /// @param [in] param MeanDescriptor to configure the mean operation.
43  /// @param [in] name Optional name for the layer.
44  MeanLayer(const MeanDescriptor& param, const char* name);
45 
46  /// Default destructor
47  ~MeanLayer() = default;
48 
49 };
50 
51 }
armnn::MeanLayer::~MeanLayer
~MeanLayer()=default
Default destructor.
armnn::MeanLayer::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: MeanLayer.cpp:61
armnn::MeanLayer
This layer represents a mean operation.
Definition: MeanLayer.hpp:14
armnn::IStrategy
Definition: IStrategy.hpp:16
armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:14
armnn::MeanLayer::MeanLayer
MeanLayer(const MeanDescriptor &param, const char *name)
Constructor to create a MeanLayer.
Definition: MeanLayer.cpp:20
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::MeanLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of MeanLayer.
Definition: MeanLayer.cpp:44
armnn::MeanLayer::Clone
MeanLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: MeanLayer.cpp:34
armnn::MeanLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: MeanLayer.cpp:116
LayerWithParameters.hpp
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::MeanDescriptor
A MeanDescriptor for the MeanLayer.
Definition: Descriptors.hpp:1172
armnn::Graph
Definition: Graph.hpp:30
armnn::MeanLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Mean type.
Definition: MeanLayer.cpp:24