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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "Layer.hpp"
namespace armnn
{
/// This layer dequantizes the input tensor.
class DequantizeLayer : public Layer
{
public:
/// Makes a workload for the Dequantize 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.
DequantizeLayer* Clone(Graph& graph) const override;
/// Check if the input tensor shape(s)
/// will lead to a valid configuration of @ref DequantizeLayer.
/// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
void ValidateTensorShapesFromInputs(
ShapeInferenceMethod shapeInferenceMethod = ShapeInferenceMethod::ValidateOnly) override;
void Accept(ILayerVisitor& visitor) const override;
protected:
/// Constructor to create a DequantizeLayer.
/// @param [in] name Optional name for the layer.
DequantizeLayer(const char* name);
/// Default destructor
~DequantizeLayer() = default;
};
} // namespace armnn