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

138 lines
3.9 KiB
C++

/**
* 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 <vector>
#include "include/api/format.h"
#include "include/registry/converter_context.h"
#include "tools/common/flag_parser.h"
#include "ir/dtype/type_id.h"
#include "schema/inner/model_generated.h"
#include "tools/converter/preprocess/preprocess_param.h"
#include "tools/converter/quantizer/quant_params.h"
#include "tools/converter/adapter/acl/common/acl_types.h"
#include "micro/coder/config.h"
namespace mindspore {
namespace lite {
class ConfigFileParser;
} // namespace lite
namespace converter {
using mindspore::schema::QuantType;
enum ParallelSplitType { SplitNo = 0, SplitByUserRatio = 1, SplitByUserAttr = 2 };
constexpr auto kMaxSplitRatio = 10;
constexpr auto kComputeRate = "computeRate";
constexpr auto kSplitDevice0 = "device0";
constexpr auto kSplitDevice1 = "device1";
constexpr size_t kEncMaxLen = 16;
struct ParallelSplitConfig {
ParallelSplitType parallel_split_type_ = SplitNo;
std::vector<int64_t> parallel_compute_rates_;
std::vector<std::string> parallel_devices_;
};
class Flags : public virtual mindspore::lite::FlagParser {
public:
Flags();
~Flags() override;
int InitInputOutputDataType();
int InitFmk();
int InitTrainModel();
int InitConfigFile();
int InitInTensorShape() const;
int InitGraphInputFormat();
int InitExtendedIntegrationInfo(const lite::ConfigFileParser &config_file_parser);
int InitEncrypt();
int InitPreInference();
int InitSaveFP16();
void InitAclDefaultOption();
int InitExportMindIR();
int Init(int argc, const char **argv);
int PreInit(int argc, const char **argv);
std::string modelFile;
std::string outputFile;
std::string fmkIn;
FmkType fmk;
std::string weightFile;
TypeId inputDataType;
TypeId outputDataType;
std::string saveFP16Str = "off";
bool saveFP16 = false;
std::string inputDataTypeStr;
std::string outputDataTypeStr;
ParallelSplitConfig parallel_split_config_{};
std::string configFile;
std::string trainModelIn;
bool trainModel = false;
std::vector<std::string> pluginsPath;
bool disableFusion = false;
std::string inTensorShape;
std::string dec_key = "";
std::string dec_mode = "AES-GCM";
std::string graphInputFormatStr;
std::string device;
mindspore::Format graphInputFormat = mindspore::NHWC;
std::string encKeyStr;
std::string encMode = "AES-GCM";
std::string inferStr;
std::string exportMindIR;
#ifdef ENABLE_OPENSSL
std::string encryptionStr = "true";
bool encryption = true;
#else
std::string encryptionStr = "false";
bool encryption = false;
#endif
bool infer = false;
unsigned char encKey[kEncMaxLen];
size_t keyLen = 0;
bool export_mindir = false;
lite::quant::CommonQuantParam commonQuantParam;
lite::quant::MixedBitWeightQuantParam mixedBitWeightQuantParam;
lite::quant::FullQuantParam fullQuantParam;
lite::preprocess::DataPreProcessParam dataPreProcessParam;
lite::acl::AclModelOptionCfg aclModelOptionCfgParam;
lite::micro::MicroParam microParam;
};
bool CheckOfflineParallelConfig(const std::string &file, ParallelSplitConfig *parallel_split_config);
std::string GetStrFromConfigFile(const std::string &file, const std::string &target_key);
} // namespace converter
} // namespace mindspore
#endif