ArmNN
 24.08
PadLayer.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 pad operation.
14 class PadLayer : public LayerWithParameters<PadDescriptor>
15 {
16 public:
17  /// Makes a workload for the Pad 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  PadLayer* Clone(Graph& graph) const override;
26 
27  /// Check if the input tensor shape(s)
28  /// will lead to a valid configuration of @ref PadLayer.
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 PadLayer.
42  /// @param [in] param PadDescriptor to configure the pad operation.
43  /// @param [in] name Optional name for the layer.
44  PadLayer(const PadDescriptor& param, const char* name);
45 
46  /// Default destructor
47  ~PadLayer() = default;
48 
49 };
50 
51 }
armnn::PadLayer::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: PadLayer.cpp:42
armnn::IStrategy
Definition: IStrategy.hpp:16
armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:14
armnn::PadDescriptor
A PadDescriptor for the PadLayer.
Definition: Descriptors.hpp:1196
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::PadLayer::Clone
PadLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: PadLayer.cpp:32
armnn::PadLayer::PadLayer
PadLayer(const PadDescriptor &param, const char *name)
Constructor to create a PadLayer.
Definition: PadLayer.cpp:18
LayerWithParameters.hpp
armnn::PadLayer::~PadLayer
~PadLayer()=default
Default destructor.
armnn::PadLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Pad type.
Definition: PadLayer.cpp:22
armnn::PadLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: PadLayer.cpp:97
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::PadLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of PadLayer.
Definition: PadLayer.cpp:77
armnn::Graph
Definition: Graph.hpp:30
armnn::PadLayer
This layer represents a pad operation.
Definition: PadLayer.hpp:14