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//
// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "LayerWithParameters.hpp"
namespace armnn
{
/// This layer represents a ReverseV2 operation.
class ReverseV2Layer : public LayerWithParameters<ReverseV2Descriptor>
{
public:
/// Makes a workload for the ReverseV2 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.
ReverseV2Layer* 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 vector of input shapes for ReverseV2.
/// @return A vector to the inferred output shape.
/// Use the default Layer::InferOutputShape method
// 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 ReverseV2Layer.
void ValidateTensorShapesFromInputs() override;
protected:
/// Constructor to create a ReverseV2Layer.
/// @param [in] param ReverseV2Descriptor to configure the ReverseV2 operation.
/// @param [in] name Optional name for the layer.
ReverseV2Layer(const ReverseV2Descriptor& param, const char* name);
/// Default destructor
~ReverseV2Layer() = default;
};
} // namespace armnn
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