From 03c7ff3f6188240baaeaeb405a357a0c58195fec Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Tue, 22 Aug 2023 12:00:04 +0100 Subject: IVGCVSW-7702 Update Doxygen Docu for 23.08 Signed-off-by: Nikhil Raj Change-Id: I357a9f7e47614589327c1ac5d95b6224ff77103d --- latest/_logical_binary_layer_8hpp_source.html | 176 ++++++++++++++++++++++++++ 1 file changed, 176 insertions(+) create mode 100644 latest/_logical_binary_layer_8hpp_source.html (limited to 'latest/_logical_binary_layer_8hpp_source.html') diff --git a/latest/_logical_binary_layer_8hpp_source.html b/latest/_logical_binary_layer_8hpp_source.html new file mode 100644 index 0000000000..1d55cadb51 --- /dev/null +++ b/latest/_logical_binary_layer_8hpp_source.html @@ -0,0 +1,176 @@ + + + + + + + + +Arm NN: src/armnn/layers/LogicalBinaryLayer.hpp Source File + + + + + + + + + + + + + + + + +
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LogicalBinaryLayer.hpp
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+Go to the documentation of this file.
1 //
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2 // Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
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3 // SPDX-License-Identifier: MIT
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4 //
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5 
+
6 #pragma once
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7 
+ +
9 
+
10 namespace armnn
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11 {
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12 
+
13 /// This layer represents a Logical Binary operation.
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14 class LogicalBinaryLayer : public LayerWithParameters<LogicalBinaryDescriptor>
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15 {
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16 public:
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17  /// Makes a workload for the LogicalBinary type
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18  /// @param [in] graph The graph where this layer can be found
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19  /// @param [in] factory The workload factory which will create the workload
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20  /// @return A pointer to the created workload, or nullptr if not created
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21  virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
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22 
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23  /// Creates a dynamically-allocated copy of this layer
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24  /// @param [in] graph The graph into which this layer is being cloned
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25  LogicalBinaryLayer* Clone(Graph& graph) const override;
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26 
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27  /// By default returns inputShapes if the number of inputs are equal to number of outputs,
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28  /// otherwise infers the output shapes from given input shapes and layer properties.
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29  /// @param [in] inputShapes The input shapes layer has.
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30  /// @return A vector to the inferred output shape.
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31  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
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32 
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33  /// Check if the input tensor shape(s) will lead to a valid configuration
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34  /// of @ref LogicalBinaryLayer
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35  /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
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36  void ValidateTensorShapesFromInputs() override;
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37 
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38  void ExecuteStrategy(IStrategy& strategy) const override;
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39 
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40 protected:
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41  /// Constructor to create a LogicalBinaryLayer
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42  /// @param [in] param LogicalBinaryDescriptor to configure the LogicalBinaryLayer
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43  /// @param [in] name Optional name for the layer
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44  LogicalBinaryLayer(const LogicalBinaryDescriptor& param, const char* name);
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45 
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46  /// Default destructor
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47  ~LogicalBinaryLayer() = default;
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48 };
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49 
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50 } // namespace armnn
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virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the LogicalBinary type.
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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,...
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~LogicalBinaryLayer()=default
Default destructor.
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void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of LogicalBinaryLayer.
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LogicalBinaryLayer(const LogicalBinaryDescriptor &param, const char *name)
Constructor to create a LogicalBinaryLayer.
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LogicalBinaryLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
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A LogicalBinaryDescriptor for the LogicalBinaryLayer.
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Copyright (c) 2021 ARM Limited and Contributors.
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This layer represents a Logical Binary operation.
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void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
+ + + + + -- cgit v1.2.1