ArmNN
 22.05
FullyConnectedLayer.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 fully connected operation.
15 class FullyConnectedLayer : public LayerWithParameters<FullyConnectedDescriptor>
16 {
17 public:
18  /// A unique pointer to store Weight values.
19  /// @Note: Deprecated. Weights are stored in ConstantLayers now.
20  std::shared_ptr<ConstTensorHandle> m_Weight;
21  /// A unique pointer to store Bias values.
22  /// @Note: Deprecated. Bias are stored in ConstantLayers now.
23  std::shared_ptr<ConstTensorHandle> m_Bias;
24 
25  /// Makes a workload for the FullyConnected type.
26  /// @param [in] graph The graph where this layer can be found.
27  /// @param [in] factory The workload factory which will create the workload.
28  /// @return A pointer to the created workload, or nullptr if not created.
29  virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
30 
31  /// Creates a dynamically-allocated copy of this layer.
32  /// @param [in] graph The graph into which this layer is being cloned.
33  FullyConnectedLayer* Clone(Graph& graph) const override;
34 
35  /// Check if the input tensor shape(s)
36  /// will lead to a valid configuration of @ref FullyConnectedLayer.
37  /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validate.
38  void ValidateTensorShapesFromInputs() override;
39 
40  /// By default returns inputShapes if the number of inputs are equal to number of outputs,
41  /// otherwise infers the output shapes from given input shapes and layer properties.
42  /// @param [in] inputShapes The input shapes layer has.
43  /// @return A vector to the inferred output shape.
44  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
45 
47  void Accept(ILayerVisitor& visitor) const override;
49 
50  void ExecuteStrategy(IStrategy& strategy) const override;
51 
52 protected:
53  /// Constructor to create a FullyConnectedLayer.
54  /// @param [in] param FullyConnectedDescriptor to configure the fully connected operation.
55  /// @param [in] name Optional name for the layer.
56  FullyConnectedLayer(const FullyConnectedDescriptor& param, const char* name);
57 
58  /// Default destructor
59  ~FullyConnectedLayer() = default;
60 
61  /// Retrieve the handles to the constant values stored by the layer.
62  /// @return A vector of the constant tensors stored by this layer.
64 };
65 
66 } // namespace
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the FullyConnected type.
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.
#define ARMNN_NO_DEPRECATE_WARN_BEGIN
Definition: Deprecated.hpp:33
ConstantTensors GetConstantTensorsByRef() override
Retrieve the handles to the constant values stored by the layer.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of FullyConnectedLayer.
ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept(ILayerVisitor &visitor) const override
FullyConnectedLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Copyright (c) 2021 ARM Limited and Contributors.
FullyConnectedLayer(const FullyConnectedDescriptor &param, const char *name)
Constructor to create a FullyConnectedLayer.
ARMNN_NO_DEPRECATE_WARN_END void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
~FullyConnectedLayer()=default
Default destructor.
std::vector< std::reference_wrapper< std::shared_ptr< ConstTensorHandle > >> ConstantTensors
Definition: INetwork.hpp:124
This layer represents a fully connected operation.
#define ARMNN_NO_DEPRECATE_WARN_END
Definition: Deprecated.hpp:34
std::shared_ptr< ConstTensorHandle > m_Weight
A unique pointer to store Weight values.
A FullyConnectedDescriptor for the FullyConnectedLayer.
std::shared_ptr< ConstTensorHandle > m_Bias
A unique pointer to store Bias values.