ArmNN
 25.11
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FullyConnectedLayer.hpp
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1//
2// Copyright © 2017,2022 Arm Ltd and Contributors. All rights reserved.
3// SPDX-License-Identifier: MIT
4//
5#pragma once
6
8
9namespace armnn
10{
11
13
14/// This layer represents a fully connected operation.
15class FullyConnectedLayer : public LayerWithParameters<FullyConnectedDescriptor>
16{
17public:
18
19 /// Makes a workload for the FullyConnected type.
20 /// @param [in] graph The graph where this layer can be found.
21 /// @param [in] factory The workload factory which will create the workload.
22 /// @return A pointer to the created workload, or nullptr if not created.
23 virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
24
25 /// Creates a dynamically-allocated copy of this layer.
26 /// @param [in] graph The graph into which this layer is being cloned.
27 FullyConnectedLayer* Clone(Graph& graph) const override;
28
29 /// Check if the input tensor shape(s)
30 /// will lead to a valid configuration of @ref FullyConnectedLayer.
31 /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validate.
32 void ValidateTensorShapesFromInputs() override;
33
34 /// By default returns inputShapes if the number of inputs are equal to number of outputs,
35 /// otherwise infers the output shapes from given input shapes and layer properties.
36 /// @param [in] inputShapes The input shapes layer has.
37 /// @return A vector to the inferred output shape.
38 std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
39
40 void ExecuteStrategy(IStrategy& strategy) const override;
41
42 /// This layer does not have any data stored, weights and bias are now stored in constant layers.
43 /// We do not want to release the data in the constant layer, that is why we override with an empty function.
44 void ReleaseConstantData() override {}
45
46protected:
47 /// Constructor to create a FullyConnectedLayer.
48 /// @param [in] param FullyConnectedDescriptor to configure the fully connected operation.
49 /// @param [in] name Optional name for the layer.
50 FullyConnectedLayer(const FullyConnectedDescriptor& param, const char* name);
51
52 /// Default destructor
54
55 /// Retrieve the handles to the constant values stored by the layer.
56 /// @return A vector of the constant tensors stored by this layer.
58};
59
60} // namespace
ImmutableConstantTensors GetConstantTensorsByRef() const override
Retrieve the handles to the constant values stored by the layer.
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
void ReleaseConstantData() override
This layer does not have any data stored, weights and bias are now stored in constant layers.
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,...
FullyConnectedLayer(const FullyConnectedDescriptor &param, const char *name)
Constructor to create a FullyConnectedLayer.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of FullyConnectedLayer.
~FullyConnectedLayer()=default
Default destructor.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the FullyConnected type.
FullyConnectedLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
std::vector< std::reference_wrapper< const std::shared_ptr< ConstTensorHandle > > > ImmutableConstantTensors
Definition INetwork.hpp:141
LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const FullyConnectedDescriptor &param, const char *name)
Copyright (c) 2021 ARM Limited and Contributors.
A FullyConnectedDescriptor for the FullyConnectedLayer.