mv_machine_learning/training/include/training_model.h

   1 /**
   2  * Copyright (c) 2022 Samsung Electronics Co., Ltd All Rights Reserved
   3  *
   4  * Licensed under the Apache License, Version 2.0 (the "License");
   5  * you may not use this file except in compliance with the License.
   6  * You may obtain a copy of the License at
   7  *
   8  * http://www.apache.org/licenses/LICENSE-2.0
   9  *
  10  * Unless required by applicable law or agreed to in writing, software
  11  * distributed under the License is distributed on an "AS IS" BASIS,
  12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13  * See the License for the specific language governing permissions and
  14  * limitations under the License.
  15  */
  16
  17 #ifndef __TRAINING_MODEL_H__
  18 #define __TRAINING_MODEL_H__
  19
  20 #include <iostream>
  21 #include <map>
  22
  23 #include <mv_inference_type.h>
  24
  25 #include "training_engine_error.h"
  26 #include "training_engine_common_impl.h"
  27 #include "inference_engine_common_impl.h"
  28 #include "data_set_manager.h"
  29 #include "feature_vector_manager.h"
  30
  31 typedef struct {
  32         std::vector<std::string> input_layer_names;
  33         std::vector<std::string> output_layer_names;
  34         std::vector<inference_engine_tensor_info> input_tensor_info;
  35         std::vector<inference_engine_tensor_info> output_tensor_info;
  36         training_engine_optimizer_property optimizer_property;
  37         training_engine_compile_property compile_property;
  38 } TrainingEngineBackendInfo;
  39
  40 class TrainingModel
  41 {
  42 private:
  43         virtual void SaveModel(const std::string file_path) = 0;
  44         virtual void RemoveModel(const std::string file_path) = 0;
  45
  46 protected:
  47         std::unique_ptr<TrainingEngineInterface::Common::TrainingEngineCommon> _training;
  48         std::unique_ptr<training_engine_model> _model;
  49         std::unique_ptr<training_engine_dataset> _data_set;
  50         std::string _internal_model_file;
  51
  52 public:
  53         TrainingModel(const training_backend_type_e backend_type, const training_target_type_e target_type,
  54                                   const std::vector<size_t> input_tensor_shape, const std::string internal_model_file);
  55         virtual ~TrainingModel();
  56
  57         void ApplyDataSet(std::unique_ptr<DataSetManager> &data_set);
  58         void ClearDataSet(std::unique_ptr<DataSetManager> &data_set);
  59         void Compile();
  60         void Train();
  61         void RemoveModel();
  62         void getWeights(float **weights, size_t *size, std::string name);
  63
  64         virtual void ConfigureModel(int num_of_class) = 0;
  65         virtual TrainingEngineBackendInfo &GetTrainingEngineInfo() = 0;
  66 };
  67
  68 #endif