LogicalBinaryLayer.hpp

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//
// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
 
#pragma once
 
#include "LayerWithParameters.hpp"
 
namespace armnn
{
 
/// This layer represents a Logical Binary operation.
class LogicalBinaryLayer : public LayerWithParameters<LogicalBinaryDescriptor>
{
public:
    /// Makes a workload for the LogicalBinary type
    /// @param [in] graph The graph where this layer can be found
    /// @param [in] factory The workload factory which will create the workload
    /// @return A pointer to the created workload, or nullptr if not created
    virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
 
    /// Creates a dynamically-allocated copy of this layer
    /// @param [in] graph The graph into which this layer is being cloned
    LogicalBinaryLayer* Clone(Graph& graph) 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.
    /// @param [in] inputShapes The input shapes layer has.
    /// @return A vector to the inferred output shape.
    std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
 
    /// Check if the input tensor shape(s) will lead to a valid configuration
    /// of @ref LogicalBinaryLayer
    /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
    void ValidateTensorShapesFromInputs() override;
 
    void ExecuteStrategy(IStrategy& strategy) const override;
 
protected:
    /// Constructor to create a LogicalBinaryLayer
    /// @param [in] param LogicalBinaryDescriptor to configure the LogicalBinaryLayer
    /// @param [in] name Optional name for the layer
    LogicalBinaryLayer(const LogicalBinaryDescriptor& param, const char* name);
 
    /// Default destructor
    ~LogicalBinaryLayer() = default;
};
 
} // namespace armnn