ArmNN
 22.05.01
LogicalBinaryLayer.hpp
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1 //
2 // Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #pragma once
7 
9 
10 namespace armnn
11 {
12 
13 /// This layer represents a Logical Binary operation.
14 class LogicalBinaryLayer : public LayerWithParameters<LogicalBinaryDescriptor>
15 {
16 public:
17  /// Makes a workload for the LogicalBinary 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  LogicalBinaryLayer* 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) will lead to a valid configuration
34  /// of @ref LogicalBinaryLayer
35  /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
36  void ValidateTensorShapesFromInputs() override;
37 
39  void Accept(ILayerVisitor& visitor) const override;
41 
42 protected:
43  /// Constructor to create a LogicalBinaryLayer
44  /// @param [in] param LogicalBinaryDescriptor to configure the LogicalBinaryLayer
45  /// @param [in] name Optional name for the layer
46  LogicalBinaryLayer(const LogicalBinaryDescriptor& param, const char* name);
47 
48  /// Default destructor
49  ~LogicalBinaryLayer() = default;
50 };
51 
52 } // namespace armnn
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the LogicalBinary type.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of LogicalBinaryLayer.
LogicalBinaryLayer(const LogicalBinaryDescriptor &param, const char *name)
Constructor to create a LogicalBinaryLayer.
#define ARMNN_NO_DEPRECATE_WARN_BEGIN
Definition: Deprecated.hpp:33
A LogicalBinaryDescriptor for the LogicalBinaryLayer.
Copyright (c) 2021 ARM Limited and Contributors.
This layer represents a Logical Binary operation.
#define ARMNN_NO_DEPRECATE_WARN_END
Definition: Deprecated.hpp:34
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.
ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept(ILayerVisitor &visitor) const override
LogicalBinaryLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
~LogicalBinaryLayer()=default
Default destructor.