patch/21.02/_fully_connected_layer_8hpp_source.xhtml

 //
 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #pragma once

 #include "LayerWithParameters.hpp"

 namespace armnn
 {

 class ScopedCpuTensorHandle;

 /// This layer represents a fully connected operation.
 class FullyConnectedLayer : public LayerWithParameters<FullyConnectedDescriptor>
 {
 public:
     /// A unique pointer to store Weight values.
     std::unique_ptr<ScopedCpuTensorHandle> m_Weight;
     /// A unique pointer to store Bias values.
     std::unique_ptr<ScopedCpuTensorHandle> m_Bias;

     /// Makes a workload for the FullyConnected type.
     /// @param [in] graph The graph where this layer can be found.
     /// @param [in] factory The workload factory which will create the workload.
     /// @return A pointer to the created workload, or nullptr if not created.
     virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;

     /// Creates a dynamically-allocated copy of this layer.
     /// @param [in] graph The graph into which this layer is being cloned.
     FullyConnectedLayer* Clone(Graph& graph) const override;

     /// Check if the input tensor shape(s)
     /// will lead to a valid configuration of @ref FullyConnectedLayer.
     /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validate.
     void ValidateTensorShapesFromInputs() 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.
     /// @param [in] inputShapes The input shapes layer has.
     /// @return A vector to the inferred output shape.
     std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;

     void Accept(ILayerVisitor& visitor) const override;

     void ExecuteStrategy(IStrategy& strategy) const override;

 protected:
     /// Constructor to create a FullyConnectedLayer.
     /// @param [in] param FullyConnectedDescriptor to configure the fully connected operation.
     /// @param [in] name Optional name for the layer.
     FullyConnectedLayer(const FullyConnectedDescriptor& param, const char* name);

     /// Default destructor
     ~FullyConnectedLayer() = default;

     /// Retrieve the handles to the constant values stored by the layer.
     /// @return A vector of the constant tensors stored by this layer.
     ConstantTensors GetConstantTensorsByRef() override;
 };

 } // namespace
LayerWithParameters.hpp

+armnn::FullyConnectedLayer::Accept
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: FullyConnectedLayer.cpp:90

+armnn::FullyConnectedLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the FullyConnected type.
Definition: FullyConnectedLayer.cpp:22

+armnn::FullyConnectedLayer::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, otherwise infers the output shapes from given input shapes and layer properties.
Definition: FullyConnectedLayer.cpp:54

+armnn::FullyConnectedLayer::m_Weight
std::unique_ptr< ScopedCpuTensorHandle > m_Weight
A unique pointer to store Weight values.
Definition: FullyConnectedLayer.hpp:19

+armnn::FullyConnectedLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: FullyConnectedLayer.cpp:104

+armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22

+armnn::FullyConnectedLayer::GetConstantTensorsByRef
ConstantTensors GetConstantTensorsByRef() override
Retrieve the handles to the constant values stored by the layer.
Definition: FullyConnectedLayer.cpp:85

+armnn::FullyConnectedLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of FullyConnectedLayer.
Definition: FullyConnectedLayer.cpp:67

+armnn::FullyConnectedLayer::Clone
FullyConnectedLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: FullyConnectedLayer.cpp:41

+armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_software_tools.dox:6

+armnn::FullyConnectedLayer::FullyConnectedLayer
FullyConnectedLayer(const FullyConnectedDescriptor &param, const char *name)
Constructor to create a FullyConnectedLayer.
Definition: FullyConnectedLayer.cpp:17

+armnn::FullyConnectedLayer::~FullyConnectedLayer
~FullyConnectedLayer()=default
Default destructor.

+armnn::IStrategy
Definition: IStrategy.hpp:13

+armnn::FullyConnectedLayer
This layer represents a fully connected operation.
Definition: FullyConnectedLayer.hpp:15

+armnn::FullyConnectedDescriptor
A FullyConnectedDescriptor for the FullyConnectedLayer.
Definition: Descriptors.hpp:389

+armnn::Graph
Definition: Graph.hpp:29

+armnn::FullyConnectedLayer::m_Bias
std::unique_ptr< ScopedCpuTensorHandle > m_Bias
A unique pointer to store Bias values.
Definition: FullyConnectedLayer.hpp:21

+armnn::ILayerVisitor
Definition: ILayerVisitor.hpp:16

+armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:13

+armnn::Layer::ConstantTensors
std::vector< std::reference_wrapper< std::unique_ptr< ScopedCpuTensorHandle > >> ConstantTensors
Definition: Layer.hpp:393

+