ArmNN
 22.05
Convolution2dLayer.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 class ScopedTensorHandle;
13 
14 /// This layer represents a convolution 2d operation.
15 class Convolution2dLayer : public LayerWithParameters<Convolution2dDescriptor>
16 {
17 public:
18 
19  /// A unique pointer to store Weight values.
20  /// @Note: Deprecated. Removal date is 22.11. Weights are stored in ConstantLayers now.
21  std::shared_ptr<ConstTensorHandle> m_Weight;
22  /// A unique pointer to store Bias values.
23  /// @Note: Deprecated. Removal date is 22.11. Bias are stored in ConstantLayers now.
24  std::shared_ptr<ConstTensorHandle> m_Bias;
25 
26  /// Makes a workload for the Convolution2d type.
27  /// @param [in] graph The graph where this layer can be found.
28  /// @param [in] factory The workload factory which will create the workload.
29  /// @return A pointer to the created workload, or nullptr if not created.
30  virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
31 
32  /// Creates a dynamically-allocated copy of this layer.
33  /// @param [in] graph The graph into which this layer is being cloned.
34  Convolution2dLayer* Clone(Graph& graph) const override;
35 
36  /// Check if the input tensor shape(s)
37  /// will lead to a valid configuration of @ref Convolution2dLayer.
38  /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
39  void ValidateTensorShapesFromInputs() override;
40 
41  /// By default returns inputShapes if the number of inputs are equal to number of outputs,
42  /// otherwise infers the output shapes from given input shapes and layer properties.
43  /// @param [in] inputShapes The input shapes layer has.
44  /// @return A vector to the inferred output shape.
45  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
46 
48  void Accept(ILayerVisitor& visitor) const override;
50 
51  void ExecuteStrategy(IStrategy& strategy) const override;
52 
54 
55 protected:
56  /// Constructor to create a Convolution2dLayer.
57  /// @param [in] param Convolution2dDescriptor to configure the convolution2d operation.
58  /// @param [in] name Optional name for the layer.
59  Convolution2dLayer(const Convolution2dDescriptor& param, const char* name);
60 
61  /// Default destructor
62  ~Convolution2dLayer() = default;
63 
64  /// @Note Deprecated. GetConstantTensorsByRef is deprecated. m_Weights and m_Bias
65  /// should be connected to layer as Constant Layers instead."
67 };
68 
69 } // namespace
#define ARMNN_NO_DEPRECATE_WARN_BEGIN
Definition: Deprecated.hpp:33
~Convolution2dLayer()=default
Default destructor.
A Convolution2dDescriptor for the Convolution2dLayer.
std::shared_ptr< ConstTensorHandle > m_Weight
A unique pointer to store Weight values.
Convolution2dLayer(const Convolution2dDescriptor &param, const char *name)
Constructor to create a Convolution2dLayer.
Copyright (c) 2021 ARM Limited and Contributors.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of Convolution2dLayer.
std::vector< std::reference_wrapper< std::shared_ptr< ConstTensorHandle > >> ConstantTensors
Definition: INetwork.hpp:124
#define ARMNN_NO_DEPRECATE_WARN_END
Definition: Deprecated.hpp:34
Convolution2dLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
ARMNN_NO_DEPRECATE_WARN_END void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
ConstantTensors GetConstantTensorsByRef() override
Deprecated.
std::shared_ptr< ConstTensorHandle > m_Bias
A unique pointer to store Bias values.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Convolution2d type.
void SerializeLayerParameters(ParameterStringifyFunction &fn) const override
Helper to serialize the layer parameters to string.
ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept(ILayerVisitor &visitor) const override
This layer represents a convolution 2d operation.
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.
std::function< void(const std::string &name, const std::string &value)> ParameterStringifyFunction