From fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf Mon Sep 17 00:00:00 2001 From: Jan Eilers Date: Thu, 25 Feb 2021 17:44:00 +0000 Subject: IVGCVSW-5687 Update Doxygen Docu * Update Doxygen Documentation for 21.02 release Signed-off-by: Jan Eilers Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5 --- 21.02/_batch_normalization_layer_8hpp_source.xhtml | 135 +++++++++++++++++++++ 1 file changed, 135 insertions(+) create mode 100644 21.02/_batch_normalization_layer_8hpp_source.xhtml (limited to '21.02/_batch_normalization_layer_8hpp_source.xhtml') diff --git a/21.02/_batch_normalization_layer_8hpp_source.xhtml b/21.02/_batch_normalization_layer_8hpp_source.xhtml new file mode 100644 index 0000000000..5e7b94ed5e --- /dev/null +++ b/21.02/_batch_normalization_layer_8hpp_source.xhtml @@ -0,0 +1,135 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/layers/BatchNormalizationLayer.hpp Source File + + + + + + + + + + + + + + + + +
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BatchNormalizationLayer.hpp
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+Go to the documentation of this file.
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 ScopedCpuTensorHandle;
13 
14 /// This layer represents a batch normalization operation.
15 class BatchNormalizationLayer : public LayerWithParameters<BatchNormalizationDescriptor>
16 {
17 public:
18  /// A unique pointer to store Mean values
19  std::unique_ptr<ScopedCpuTensorHandle> m_Mean;
20  /// A unique pointer to store Variance values
21  std::unique_ptr<ScopedCpuTensorHandle> m_Variance;
22  /// A unique pointer to store Beta values
23  std::unique_ptr<ScopedCpuTensorHandle> m_Beta;
24  /// A unique pointer to store Gamma values
25  std::unique_ptr<ScopedCpuTensorHandle> m_Gamma;
26 
27  /// Makes a workload for the BatchNormalization type.
28  /// @param [in] graph The graph where this layer can be found.
29  /// @param [in] factory The workload factory which will create the workload.
30  /// @return A pointer to the created workload, or nullptr if not created.
31  virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
32 
33  /// Creates a dynamically-allocated copy of this layer.
34  /// @param [in] graph The graph into which this layer is being cloned.
35  BatchNormalizationLayer* Clone(Graph& graph) const override;
36 
37  /// Check if the input tensor shape(s)
38  /// will lead to a valid configuration of @ref BatchNormalizationLayer.
39  /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
40  void ValidateTensorShapesFromInputs() override;
41 
42  void Accept(ILayerVisitor& visitor) const override;
43 
44  void ExecuteStrategy(IStrategy& strategy) const override;
45 
46 protected:
47  /// Constructor to create a BatchNormalizationLayer.
48  /// @param [in] param BatchNormalizationDescriptor to configure the batch normalization operation.
49  /// @param [in] name Optional name for the layer.
50  BatchNormalizationLayer(const BatchNormalizationDescriptor& param, const char* name);
51 
52  /// Default destructor
53  ~BatchNormalizationLayer() = default;
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
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This layer represents a batch normalization operation.
+
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the BatchNormalization type.
+
BatchNormalizationLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
+
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
+ +
std::unique_ptr< ScopedCpuTensorHandle > m_Gamma
A unique pointer to store Gamma values.
+
std::unique_ptr< ScopedCpuTensorHandle > m_Variance
A unique pointer to store Variance values.
+
Copyright (c) 2021 ARM Limited and Contributors.
+
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
+
std::unique_ptr< ScopedCpuTensorHandle > m_Beta
A unique pointer to store Beta values.
+ +
std::unique_ptr< ScopedCpuTensorHandle > m_Mean
A unique pointer to store Mean values.
+
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of BatchNormalizationLayer.
+ +
ConstantTensors GetConstantTensorsByRef() override
Retrieve the handles to the constant values stored by the layer.
+ + +
std::vector< std::reference_wrapper< std::unique_ptr< ScopedCpuTensorHandle > >> ConstantTensors
Definition: Layer.hpp:393
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~BatchNormalizationLayer()=default
Default destructor.
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BatchNormalizationLayer(const BatchNormalizationDescriptor &param, const char *name)
Constructor to create a BatchNormalizationLayer.
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A BatchNormalizationDescriptor for the BatchNormalizationLayer.
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