LCOV - code coverage report
Current view: top level - nntrainer/layers - centroid_knn.h (source / functions) Coverage Total Hit
Test: coverage_filtered.info Lines: 100.0 % 3 3
Test Date: 2025-12-14 20:38:17 Functions: 100.0 % 3 3

            Line data    Source code
       1              : // SPDX-License-Identifier: Apache-2.0
       2              : /**
       3              :  * Copyright (C) 2020 Jihoon Lee <jhoon.it.lee@samsung.com>
       4              :  *
       5              :  * @file   centroid_knn.h
       6              :  * @date   09 Jan 2021
       7              :  * @details  This file contains the simple nearest neighbor layer, this layer
       8              :  * takes centroid and calculate l2 distance
       9              :  * @see    https://github.com/nnstreamer/nntrainer
      10              :  * @author Jihoon Lee <jhoon.it.lee@samsung.com>
      11              :  * @bug    No known bugs except for NYI items
      12              :  *
      13              :  */
      14              : #ifndef __CENTROID_KNN_H__
      15              : #define __CENTROID_KNN_H__
      16              : #include <string>
      17              : 
      18              : #include <common_properties.h>
      19              : #include <layer_devel.h>
      20              : 
      21              : namespace nntrainer {
      22              : 
      23              : /**
      24              :  * @brief Centroid KNN layer which takes centroid and do k-nearest neighbor
      25              :  * classification
      26              :  */
      27              : class CentroidKNN : public Layer {
      28              : public:
      29              :   /**
      30              :    * @brief Construct a new NearestNeighbors Layer object that does elementwise
      31              :    * subtraction from mean feature vector
      32              :    */
      33              :   CentroidKNN();
      34              : 
      35              :   /**
      36              :    *  @brief  Move constructor.
      37              :    *  @param[in] CentroidKNN &&
      38              :    */
      39              :   CentroidKNN(CentroidKNN &&rhs) noexcept = default;
      40              : 
      41              :   /**
      42              :    * @brief  Move assignment operator.
      43              :    * @parma[in] rhs CentroidKNN to be moved.
      44              :    */
      45              :   CentroidKNN &operator=(CentroidKNN &&rhs) noexcept = default;
      46              : 
      47              :   /**
      48              :    * @brief Destroy the NearestNeighbors Layer object
      49              :    *
      50              :    */
      51              :   ~CentroidKNN();
      52              : 
      53              :   /**
      54              :    * @copydoc Layer::requireLabel()
      55              :    */
      56          280 :   bool requireLabel() const override { return true; }
      57              : 
      58              :   /**
      59              :    * @copydoc Layer::finalize(InitLayerContext &context)
      60              :    */
      61              :   void finalize(nntrainer::InitLayerContext &context) override;
      62              : 
      63              :   /**
      64              :    * @copydoc Layer::forwarding(RunLayerContext &context, bool training)
      65              :    */
      66              :   void forwarding(nntrainer::RunLayerContext &context, bool training) override;
      67              : 
      68              :   /**
      69              :    * @copydoc Layer::calcDerivative(RunLayerContext &context)
      70              :    */
      71              :   void calcDerivative(nntrainer::RunLayerContext &context) override;
      72              : 
      73              :   /**
      74              :    * @copydoc bool supportBackwarding() const
      75              :    */
      76            1 :   bool supportBackwarding() const override { return false; };
      77              : 
      78              :   /**
      79              :    * @copydoc Layer::exportTo(Exporter &exporter, ExportMethods method)
      80              :    */
      81              :   void exportTo(nntrainer::Exporter &exporter,
      82              :                 const ml::train::ExportMethods &method) const override;
      83              : 
      84              :   /**
      85              :    * @copydoc Layer::getType()
      86              :    */
      87           25 :   const std::string getType() const override { return CentroidKNN::type; };
      88              : 
      89              :   /**
      90              :    * @copydoc Layer::setProperty(const std::vector<std::string> &values)
      91              :    */
      92              :   void setProperty(const std::vector<std::string> &values) override;
      93              : 
      94              :   static constexpr const char *type = "centroid_knn";
      95              : 
      96              : private:
      97              :   std::tuple<props::NumClass> centroid_knn_props;
      98              :   std::array<unsigned int, 2> weight_idx; /**< indices of the weights */
      99              : };
     100              : } // namespace nntrainer
     101              : 
     102              : #endif /** __CENTROID_KNN_H__ */
        

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