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/_elementwise_base_layer_8hpp_source.xhtml | 122 ++++++++++++++++++++++++ 1 file changed, 122 insertions(+) create mode 100644 20.02/_elementwise_base_layer_8hpp_source.xhtml (limited to '20.02/_elementwise_base_layer_8hpp_source.xhtml') diff --git a/20.02/_elementwise_base_layer_8hpp_source.xhtml b/20.02/_elementwise_base_layer_8hpp_source.xhtml new file mode 100644 index 0000000000..4bf69c0692 --- /dev/null +++ b/20.02/_elementwise_base_layer_8hpp_source.xhtml @@ -0,0 +1,122 @@ + + + + + + + + + + + + + +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. 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  void ValidateTensorShapesFromInputs() override;
22 
23  /// By default returns inputShapes if the number of inputs are equal to number of outputs,
24  /// otherwise infers the output shapes from given input shapes and layer properties.
25  /// @param [in] inputShapes The input shapes layer has.
26  /// @return A vector to the inferred output shape.
27  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
28 
29 protected:
30  /// @param numInputSlots The number of input slots for the layer.
31  /// @param numOutputSlots The number of output slots for the layer.
32  /// @param type The layer type.
33  /// @param name Optional name for the layer.
34  ElementwiseBaseLayer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char* name);
35 
36  /// Default destructor
37  ~ElementwiseBaseLayer() = default;
38 };
39 
40 } // 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:23
+
armnn
Copyright (c) 2020 ARM Limited.
Definition: 00_introduction.dox:25
+
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
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armnn::ElementwiseBaseLayer::ElementwiseBaseLayer
ElementwiseBaseLayer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)
Definition: ElementwiseBaseLayer.cpp:17
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armnn::ElementwiseBaseLayer::~ElementwiseBaseLayer
~ElementwiseBaseLayer()=default
Default destructor.
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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:51
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