mindspore2022/mindspore/lite/tools/converter/converter_flags.h

/**
 * Copyright 2020 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_CONVERTER_FLAGS_H
#define MINDSPORE_LITE_TOOLS_CONVERTER_CONVERTER_FLAGS_H

#include <string>
#include "tools/common/flag_parser.h"
#include "ir/dtype/type_id.h"
#include "schema/inner/model_generated.h"

namespace mindspore {
namespace lite {
using mindspore::schema::QuantType;
using mindspore::schema::QuantType_AwareTraining;
using mindspore::schema::QuantType_PostTraining;
using mindspore::schema::QuantType_QUANT_NONE;
using mindspore::schema::QuantType_WeightQuant;
namespace converter {
enum FmkType { FmkType_TF = 0, FmkType_CAFFE = 1, FmkType_ONNX = 2, FmkType_MS = 3, FmkType_TFLITE = 4 };

class Flags : public virtual mindspore::lite::FlagParser {
 public:
  Flags();

  ~Flags() override = default;

  int Init(int argc, const char **argv);

 public:
  std::string modelFile;
  std::string outputFile;
  std::string fmkIn;
  FmkType fmk;
  std::string weightFile;
  std::string inputArrays;
  std::string outputArrays;
  std::string inputShapes;
  // used for quantization
  std::string quantTypeIn;
  QuantType quantType;
  std::string inferenceTypeIn;
  std::string inputDataTypeIn;
  std::string outputDataTypeIn;
  // used for parse aware trainning
  TypeId inputDataType;
  TypeId outputDataType;
  // used for post-trainning-weight
  std::string quantWeightSize;
  std::string bitNum;
  std::string configFile;
  std::string quantWeightChannel;
  std::string trainModelIn;
  bool trainModel = false;
};
}  // namespace converter
}  // namespace lite
}  // namespace mindspore

#endif