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/_elementwise_base_layer_8hpp_source.xhtml | 124 ++++++++++++++++++++++++ 1 file changed, 124 insertions(+) create mode 100644 21.02/_elementwise_base_layer_8hpp_source.xhtml (limited to '21.02/_elementwise_base_layer_8hpp_source.xhtml') diff --git a/21.02/_elementwise_base_layer_8hpp_source.xhtml b/21.02/_elementwise_base_layer_8hpp_source.xhtml new file mode 100644 index 0000000000..ebed3800bb --- /dev/null +++ b/21.02/_elementwise_base_layer_8hpp_source.xhtml @@ -0,0 +1,124 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/layers/ElementwiseBaseLayer.hpp Source File + + + + + + + + + + + + + + + + +
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ElementwiseBaseLayer.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 
6 #pragma once
7 
8 #include <Layer.hpp>
9 
10 namespace armnn
11 {
12 
13 /// NOTE: this is an abstract class to encapsulate the element wise operations, it does not implement:
14 /// std::unique_ptr<IWorkload> Layer::CreateWorkload(const IWorkloadFactory& factory) const = 0;
15 /// Layer* Clone(Graph& graph) const = 0;
16 class ElementwiseBaseLayer : public Layer
17 {
18 public:
19  /// Check if the input tensor shape(s)
20  /// will lead to a valid configuration of the element wise operation.
21  /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
22  void ValidateTensorShapesFromInputs() override;
23 
24  /// By default returns inputShapes if the number of inputs are equal to number of outputs,
25  /// otherwise infers the output shapes from given input shapes and layer properties.
26  /// @param [in] inputShapes The input shapes layer has.
27  /// @return A vector to the inferred output shape.
28  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
29 
30  void ExecuteStrategy(IStrategy& strategy) const override;
31 
32 protected:
33  /// @param numInputSlots The number of input slots for the layer.
34  /// @param numOutputSlots The number of output slots for the layer.
35  /// @param type The layer type.
36  /// @param name Optional name for the layer.
37  ElementwiseBaseLayer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char* name);
38 
39  /// Default destructor
40  ~ElementwiseBaseLayer() = default;
41 };
42 
43 } // namespace
armnn::ElementwiseBaseLayer::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: ElementwiseBaseLayer.cpp:22
+
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_software_tools.dox:6
+ +
Layer.hpp
+
armnn::ElementwiseBaseLayer
NOTE: this is an abstract class to encapsulate the element wise operations, it does not implement: st...
Definition: ElementwiseBaseLayer.hpp:16
+
armnn::ElementwiseBaseLayer::ElementwiseBaseLayer
ElementwiseBaseLayer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)
Definition: ElementwiseBaseLayer.cpp:16
+
armnn::ElementwiseBaseLayer::~ElementwiseBaseLayer
~ElementwiseBaseLayer()=default
Default destructor.
+
armnn::ElementwiseBaseLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: ElementwiseBaseLayer.cpp:85
+
armnn::ElementwiseBaseLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of the element wise operation...
Definition: ElementwiseBaseLayer.cpp:67
+ +
armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:419
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+
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