graphengine/inc/framework/omg/parser/parser_inner_ctx.h

/**
 * Copyright (c) Huawei Technologies Co., Ltd. 2021. All rights reserved.
 *
 * 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 INC_FRAMEWORK_OMG_PARSER_PARSER_INNER_CONTEXT_H_
#define INC_FRAMEWORK_OMG_PARSER_PARSER_INNER_CONTEXT_H_

#include <map>
#include <memory>
#include <string>
#include <unordered_map>
#include <vector>
#include "external/register/register_fmk_types.h"
#include "external/register/register_types.h"
#include "framework/omg/omg_inner_types.h"

namespace ge {
struct ParserContext {
  // format of the input specified by the command line
  std::unordered_map<std::string, domiTensorFormat_t> input_nodes_format_map;
  std::vector<domiTensorFormat_t> output_formats;
  // user-designate input dims
  std::vector<std::pair<std::string, std::vector<int64_t>>> user_input_dims;
  std::map<std::string, std::vector<int64_t>> input_dims;
  // resolve the mapping between operators with the same name and corresponding network. format e.g.
  // Detectionoutput:SsdDetectiontOutput
  std::map<std::string, std::string> op_conf_map;
  // user-designate out nodes (this is used for determing the orders)
  std::vector<std::pair<std::string, int32_t>> user_out_nodes;
  // default out nodes (this is used for determing the orders)
  std::vector<std::pair<std::string, int32_t>> default_out_nodes;
  // save the output node of the network. key = operator name, value = index, index indicates the output index of the
  // operator
  std::map<std::string, std::vector<int32_t>> out_nodes_map;
  // save the output node of the network, value = topName,
  // tensorName indicates the output name of the operator.
  std::vector<std::string> user_out_tensors;
  // net out nodes (where user_out_nodes or leaf nodes)
  std::vector<std::string> net_out_nodes;
  // net out nodes tensor names(caffe or onnx)
  std::vector<std::string> out_tensor_names;
  // net data nodes tensor names(caffe or onnx)
  std::vector<std::string> data_tensor_names;
  // Whether to use dynamic batch size or dynamic image size
  bool is_dynamic_input = false;
  bool train_flag = false;
  domi::domiTensorFormat_t format = domi::DOMI_TENSOR_ND;
  domi::FrameworkType type = domi::FRAMEWORK_RESERVED;
  RunMode run_mode = GEN_OM_MODEL;
  // save caffe custom proto path, used by caffe parse
  std::string custom_proto_path;
  // save caffe proto path, used by caffe parse
  std::string caffe_proto_path;
  // name of the pass that needs to take effect
  std::string enable_scope_fusion_passes;
};

GE_FUNC_VISIBILITY ParserContext &GetParserContext();
}  // namespace ge

#endif  // INC_FRAMEWORK_OMG_PARSER_PARSER_INNER_CONTEXT_H_