From 6940dd720ebb6b3d1df8ca203ab696daefe58189 Mon Sep 17 00:00:00 2001 From: Jim Flynn Date: Fri, 20 Mar 2020 12:25:56 +0000 Subject: renamed Documentation folder 20.02 and added .nojekyll file Signed-off-by: Jim Flynn --- 20.02/_fully_connected_layer_8hpp_source.xhtml | 132 +++++++++++++++++++++++++ 1 file changed, 132 insertions(+) create mode 100644 20.02/_fully_connected_layer_8hpp_source.xhtml (limited to '20.02/_fully_connected_layer_8hpp_source.xhtml') diff --git a/20.02/_fully_connected_layer_8hpp_source.xhtml b/20.02/_fully_connected_layer_8hpp_source.xhtml new file mode 100644 index 0000000000..caf91d7afb --- /dev/null +++ b/20.02/_fully_connected_layer_8hpp_source.xhtml @@ -0,0 +1,132 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/layers/FullyConnectedLayer.hpp Source File + + + + + + + + + + + + + + + + +
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FullyConnectedLayer.hpp
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+Go to the documentation of this file.
1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #pragma once
6 
7 #include "LayerWithParameters.hpp"
8 
9 namespace armnn
10 {
11 
12 class ScopedCpuTensorHandle;
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  std::unique_ptr<ScopedCpuTensorHandle> m_Weight;
20  /// A unique pointer to store Bias values.
21  std::unique_ptr<ScopedCpuTensorHandle> m_Bias;
22 
23  /// Makes a workload for the FullyConnected type.
24  /// @param [in] graph The graph where this layer can be found.
25  /// @param [in] factory The workload factory which will create the workload.
26  /// @return A pointer to the created workload, or nullptr if not created.
27  virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
28 
29  /// Creates a dynamically-allocated copy of this layer.
30  /// @param [in] graph The graph into which this layer is being cloned.
31  FullyConnectedLayer* Clone(Graph& graph) const override;
32 
33  /// Check if the input tensor shape(s)
34  /// will lead to a valid configuration of @ref FullyConnectedLayer.
35  void ValidateTensorShapesFromInputs() override;
36 
37  /// By default returns inputShapes if the number of inputs are equal to number of outputs,
38  /// otherwise infers the output shapes from given input shapes and layer properties.
39  /// @param [in] inputShapes The input shapes layer has.
40  /// @return A vector to the inferred output shape.
41  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
42 
43  void Accept(ILayerVisitor& visitor) const override;
44 
45 protected:
46  /// Constructor to create a FullyConnectedLayer.
47  /// @param [in] param FullyConnectedDescriptor to configure the fully connected operation.
48  /// @param [in] name Optional name for the layer.
49  FullyConnectedLayer(const FullyConnectedDescriptor& param, const char* name);
50 
51  /// Default destructor
52  ~FullyConnectedLayer() = default;
53 
54  /// Retrieve the handles to the constant values stored by the layer.
55  /// @return A vector of the constant tensors stored by this layer.
56  ConstantTensors GetConstantTensorsByRef() override;
57 };
58 
59 } // namespace
LayerWithParameters.hpp
+
armnn::FullyConnectedLayer::Accept
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: FullyConnectedLayer.cpp:88
+
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:51
+
armnn::FullyConnectedLayer::m_Weight
std::unique_ptr< ScopedCpuTensorHandle > m_Weight
A unique pointer to store Weight values.
Definition: FullyConnectedLayer.hpp:19
+ +
armnn::FullyConnectedLayer::GetConstantTensorsByRef
ConstantTensors GetConstantTensorsByRef() override
Retrieve the handles to the constant values stored by the layer.
Definition: FullyConnectedLayer.cpp:83
+
armnn::FullyConnectedLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of FullyConnectedLayer.
Definition: FullyConnectedLayer.cpp:64
+
armnn::FullyConnectedLayer::Clone
FullyConnectedLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: FullyConnectedLayer.cpp:38
+
armnn
Copyright (c) 2020 ARM Limited.
Definition: 00_introduction.dox:25
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armnn::FullyConnectedLayer::FullyConnectedLayer
FullyConnectedLayer(const FullyConnectedDescriptor &param, const char *name)
Constructor to create a FullyConnectedLayer.
Definition: FullyConnectedLayer.cpp:17
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armnn::FullyConnectedLayer::~FullyConnectedLayer
~FullyConnectedLayer()=default
Default destructor.
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armnn::FullyConnectedLayer
This layer represents a fully connected operation.
Definition: FullyConnectedLayer.hpp:15
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armnn::FullyConnectedDescriptor
A FullyConnectedDescriptor for the FullyConnectedLayer.
Definition: Descriptors.hpp:373
+ +
armnn::FullyConnectedLayer::m_Bias
std::unique_ptr< ScopedCpuTensorHandle > m_Bias
A unique pointer to store Bias values.
Definition: FullyConnectedLayer.hpp:21
+ + +
armnn::Layer::ConstantTensors
std::vector< std::reference_wrapper< std::unique_ptr< ScopedCpuTensorHandle > >> ConstantTensors
Definition: Layer.hpp:363
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