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//
// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <Layer.hpp>
namespace armnn
{
/// NOTE: this is an abstract class to encapsulate the element wise operations, it does not implement:
/// std::unique_ptr<IWorkload> Layer::CreateWorkload(const IWorkloadFactory& factory) const = 0;
/// Layer* Clone(Graph& graph) const = 0;
class ElementwiseBaseLayer : public Layer
{
public:
/// Check if the input tensor shape(s)
/// will lead to a valid configuration of the element wise operation.
/// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
void ValidateTensorShapesFromInputs() 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;
void ExecuteStrategy(IStrategy& strategy) const override;
protected:
/// @param numInputSlots The number of input slots for the layer.
/// @param numOutputSlots The number of output slots for the layer.
/// @param type The layer type.
/// @param name Optional name for the layer.
ElementwiseBaseLayer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char* name);
/// Default destructor
~ElementwiseBaseLayer() = default;
};
} // namespace
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