/**
 * 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 GE_MOCK_H
#define GE_MOCK_H
#include <iostream>
#include <memory>
#include <string>
#include <cstring>
#include <sstream>
#include "graph/tensor.h"
#include "graph/operator_reg.h"
#include "graph/operator.h"
#include "graph/utils/tensor_utils.h"
#include "graph/utils/tensor_adapter.h"

#include "external/ge/ge_api.h"

namespace ge {

Session::Session(const std::map<std::string, std::string>& options) {}
Session::~Session() {}

Status Session::RunGraph(uint32_t id, const std::vector<Tensor>& inputs, std::vector<Tensor>& outputs) {
  // for test!!! just copy inputs to outputs:
  for (auto it = inputs.begin(); it != inputs.end(); it++) {
    outputs.emplace_back(*it);
  }
  return ge::GRAPH_SUCCESS;
}

Status Session::AddGraph(uint32_t id, const Graph& graph) { return ge::GRAPH_SUCCESS; }

Status GEInitialize(const std::map<std::string, std::string>& options) { return ge::GRAPH_SUCCESS; }

Status GEFinalize() { return ge::GRAPH_SUCCESS; }

Status Graph::SaveToFile(const string& file_name) const { return ge::GRAPH_SUCCESS; }

}  // namespace ge

namespace gelc {
uint32_t GetOptInfo(uint32_t mode, const std::string &soc_ver, std::map<std::string, std::string> &opt_info_map) {
  return 0;
}
}  // namespace gelc
#endif