1 /** 2 * Copyright 2020 Huawei Technologies Co., Ltd 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 #ifndef MINDSPORE_LITE_INCLUDE_TRAIN_ACCURACY_METRICS_H_ 17 #define MINDSPORE_LITE_INCLUDE_TRAIN_ACCURACY_METRICS_H_ 18 #include <vector> 19 #include "include/train/metrics.h" 20 21 using mindspore::session::Metrics; 22 23 namespace mindspore { 24 namespace lite { 25 26 constexpr int METRICS_CLASSIFICATION = 0; 27 constexpr int METRICS_MULTILABEL = 1; 28 29 class AccuracyMetrics : public Metrics { 30 public: 31 explicit AccuracyMetrics(int accuracy_metrics = METRICS_CLASSIFICATION, const std::vector<int> &input_indexes = {1}, 32 const std::vector<int> &output_indexes = {0}); 33 virtual ~AccuracyMetrics() = default; Clear()34 void Clear() override { total_accuracy_ = total_steps_ = 0.0; } 35 float Eval() override; 36 void Update(std::vector<lite::Tensor *> inputs, std::vector<lite::Tensor *> outputs) override; 37 38 protected: 39 int accuracy_metrics_ = METRICS_CLASSIFICATION; 40 std::vector<int> input_indexes_ = {1}; 41 std::vector<int> output_indexes_ = {0}; 42 float total_accuracy_ = 0.0; 43 float total_steps_ = 0.0; 44 friend class ClassificationTrainAccuracyMonitor; 45 }; 46 47 } // namespace lite 48 } // namespace mindspore 49 #endif // MINDSPORE_LITE_INCLUDE_TRAIN_ACCURACY_METRICS_H_ 50