LCOV - code coverage report
Current view: top level - nntrainer/layers - add_layer.cpp (source / functions) Coverage Total Hit
Test: coverage_filtered.info Lines: 100.0 % 18 18
Test Date: 2025-12-14 20:38:17 Functions: 100.0 % 4 4

            Line data    Source code
       1              : // SPDX-License-Identifier: Apache-2.0
       2              : /**
       3              :  * Copyright (C) 2024 SeungBaek Hong <sb92.hong@samsung.com>
       4              :  *
       5              :  * @file   add_layer.cpp
       6              :  * @date   7 Oct 2024
       7              :  * @see    https://github.com/nnstreamer/nntrainer
       8              :  * @author SeungBaek Hong <sb92.hong@samsung.com>
       9              :  * @bug    No known bugs except for NYI items
      10              :  * @brief  This is add layer class (operation layer)
      11              :  *
      12              :  */
      13              : 
      14              : #include "common_properties.h"
      15              : #include <add_layer.h>
      16              : #include <nntrainer_error.h>
      17              : #include <nntrainer_log.h>
      18              : #include <node_exporter.h>
      19              : #include <util_func.h>
      20              : 
      21              : #include <layer_context.h>
      22              : 
      23              : namespace nntrainer {
      24              : 
      25           12 : void AddLayer::finalize(InitLayerContext &context) {
      26           12 :   context.setOutputDimensions({context.getInputDimensions()[0]});
      27           12 : }
      28              : 
      29            6 : void AddLayer::forwarding_operation(const Tensor &input0, const Tensor &input1,
      30              :                                     Tensor &hidden) {
      31            6 :   input0.add(input1, hidden);
      32            6 : }
      33              : 
      34            3 : void AddLayer::calcDerivative(RunLayerContext &context) {
      35            6 :   context.getOutgoingDerivative(0).copy(
      36            6 :     context.getIncomingDerivative(SINGLE_INOUT_IDX));
      37              : 
      38            6 :   context.getOutgoingDerivative(1).copy(
      39            6 :     context.getIncomingDerivative(SINGLE_INOUT_IDX));
      40            3 : }
      41              : 
      42           90 : void AddLayer::setProperty(const std::vector<std::string> &values) {
      43           90 :   auto remain_props = loadProperties(values, add_props);
      44           88 :   if (!remain_props.empty()) {
      45              :     std::string msg = "[AddLayer] Unknown Layer Properties count " +
      46            4 :                       std::to_string(values.size());
      47            8 :     throw exception::not_supported(msg);
      48              :   }
      49           88 : }
      50              : } /* namespace nntrainer */
        

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