ArmNN
 24.02
ReduceLayer.hpp
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1 //
2 // Copyright © 2020 Samsung Electronics Co Ltd and Contributors. All rights reserved.
3 // Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
4 // SPDX-License-Identifier: MIT
5 //
6 #pragma once
7 
9 
10 namespace armnn
11 {
12 
13 /// This layer represents a reduction operation.
14 class ReduceLayer : public LayerWithParameters<ReduceDescriptor>
15 {
16 public:
17  /// Makes a workload for the Reduce 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  ReduceLayer* 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 ReduceLayer.
35  void ValidateTensorShapesFromInputs() override;
36 
37  void ExecuteStrategy(IStrategy& strategy) const override;
38 
39 protected:
40  /// Constructor to create a ReduceLayer.
41  /// @param [in] param ReduceDescriptor to configure the reduction operation.
42  /// @param [in] name Optional name for the layer.
43  ReduceLayer(const ReduceDescriptor& param, const char* name);
44 
45  /// Default destructor
46  ~ReduceLayer() = default;
47 };
48 
49 } // namespace armnn
armnn::ReduceLayer::ReduceLayer
ReduceLayer(const ReduceDescriptor &param, const char *name)
Constructor to create a ReduceLayer.
Definition: ReduceLayer.cpp:18
armnn::IStrategy
Definition: IStrategy.hpp:16
armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:14
armnn::ReduceLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ReduceLayer.
Definition: ReduceLayer.cpp:44
armnn::ReduceLayer::~ReduceLayer
~ReduceLayer()=default
Default destructor.
armnn::ReduceLayer
This layer represents a reduction operation.
Definition: ReduceLayer.hpp:14
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::ReduceLayer::Clone
ReduceLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ReduceLayer.cpp:34
LayerWithParameters.hpp
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::ReduceLayer::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: ReduceLayer.cpp:62
armnn::ReduceLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: ReduceLayer.cpp:117
armnn::ReduceDescriptor
A ReduceDescriptor for the REDUCE operators.
Definition: Descriptors.hpp:1538
armnn::ReduceLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Reduce type.
Definition: ReduceLayer.cpp:23
armnn::Graph
Definition: Graph.hpp:30