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/_prelu_layer_8hpp_source.xhtml | 127 +++++++++++++++++++++++++++++++++++ 1 file changed, 127 insertions(+) create mode 100644 20.02/_prelu_layer_8hpp_source.xhtml (limited to '20.02/_prelu_layer_8hpp_source.xhtml') diff --git a/20.02/_prelu_layer_8hpp_source.xhtml b/20.02/_prelu_layer_8hpp_source.xhtml new file mode 100644 index 0000000000..38d3121acf --- /dev/null +++ b/20.02/_prelu_layer_8hpp_source.xhtml @@ -0,0 +1,127 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/layers/PreluLayer.hpp Source File + + + + + + + + + + + + + + + + +
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PreluLayer.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 
6 #pragma once
7 
8 #include "LayerWithParameters.hpp"
9 
10 namespace armnn
11 {
12 
13 // This layer represents a PReLU activation operation.
14 class PreluLayer : public Layer
15 {
16 public:
17  /// Makes a workload for the PReLU type.
18  /// @param [in] graph The graph where this layer can be found.
19  /// @param [in] factory The workload factory which will create the workload.
20  /// @return A pointer to the created workload, or nullptr if not created.
21  virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
22 
23  /// Creates a dynamically-allocated copy of this layer.
24  /// @param [in] graph The graph into which this layer is being cloned.
25  PreluLayer* Clone(Graph& graph) const override;
26 
27  /// By default returns inputShapes if the number of inputs are equal to number of outputs,
28  /// otherwise infers the output shapes from given input shapes and layer properties.
29  /// @param [in] inputShapes The input shapes layer has.
30  /// @return A vector to the inferred output shape.
31  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
32 
33  /// Check if the input tensor shape(s)
34  /// will lead to a valid configuration of @ref PreluLayer.
35  void ValidateTensorShapesFromInputs() override;
36 
37  void Accept(ILayerVisitor& visitor) const override;
38 
39 protected:
40  /// Constructor to create a PreluLayer.
41  /// @param [in] name Optional name for the layer.
42  PreluLayer(const char* name);
43 
44  /// Default destructor
45  ~PreluLayer() = default;
46 };
47 
48 } // namespace armnn
LayerWithParameters.hpp
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armnn::PreluLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the PReLU type.
Definition: PreluLayer.cpp:21
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armnn::PreluLayer::Clone
PreluLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: PreluLayer.cpp:28
+ +
armnn::PreluLayer::Accept
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: PreluLayer.cpp:115
+
armnn
Copyright (c) 2020 ARM Limited.
Definition: 00_introduction.dox:25
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armnn::PreluLayer::PreluLayer
PreluLayer(const char *name)
Constructor to create a PreluLayer.
Definition: PreluLayer.cpp:17
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armnn::PreluLayer::~PreluLayer
~PreluLayer()=default
Default destructor.
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armnn::PreluLayer::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: PreluLayer.cpp:35
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armnn::PreluLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of PreluLayer.
Definition: PreluLayer.cpp:97
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