text: /**
   * Copyright 2021 Huawei Technologies Co., Ltd
   *
   * Licensed under the Apache License, Version 2.0 (the "License");
   * you may not use this file except in compliance with the License.
   * You may obtain a copy of the License at
   *
   * http://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   */
  
  #ifndef MINDSPORE_LITE_TOOLS_CONVERTER_QUANTIZER_QUANT_PARAM_H
  #define MINDSPORE_LITE_TOOLS_CONVERTER_QUANTIZER_QUANT_PARAM_H
  #include <map>
  #include <string>
  #include <vector>
  #include "schema/inner/model_generated.h"
  namespace mindspore::lite::quant {
  enum ActivationQuantizedMethod {
    MAX_MIN = 0,
    KL = 1,
    REMOVAL_OUTLIER = 2,
  };
  
  struct CommonQuantParam {
    schema::QuantType quant_type = schema::QuantType_QUANT_NONE;
    int bit_num = 8;
    int min_quant_weight_size = 0;
    int min_quant_weight_channel = 16;
  };
  
  struct MixedBitWeightQuantParam {
    double init_scale = 0.02;
    bool auto_tune = false;
  };
  
  struct FullQuantParam {
    ActivationQuantizedMethod activation_quant_method = MAX_MIN;
    bool bias_correction = true;
    int thread_num = 1;
  };
  }  // namespace mindspore::lite::quant
  
  #endif  // MINDSPORE_LITE_TOOLS_CONVERTER_QUANTIZER_QUANT_PARAM_H
  