// // Copyright © 2017 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // #pragma once #include "LayerWithParameters.hpp" namespace armnn { class ScopedCpuTensorHandle; /// This layer represents a detection postprocess operator. class DetectionPostProcessLayer : public LayerWithParameters { public: /// A unique pointer to store Anchor values. std::unique_ptr m_Anchors; /// Makes a workload for the DetectionPostProcess 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 CreateWorkload(const Graph& graph, 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. DetectionPostProcessLayer* Clone(Graph& graph) const override; /// Check if the input tensor shape(s) /// will lead to a valid configuration of @ref DetectionPostProcessLayer. void ValidateTensorShapesFromInputs() override; void Accept(ILayerVisitor& visitor) const override; protected: /// Constructor to create a DetectionPostProcessLayer. /// @param [in] param DetectionPostProcessDescriptor to configure the detection postprocess. /// @param [in] name Optional name for the layer. DetectionPostProcessLayer(const DetectionPostProcessDescriptor& param, const char* name); /// Default destructor ~DetectionPostProcessLayer() = default; /// Retrieve the handles to the constant values stored by the layer. /// @return A vector of the constant tensors stored by this layer. ConstantTensors GetConstantTensorsByRef() override; }; } // namespace armnn