/**
 * Copyright 2022 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_INCLUDE_API_MODEL_PARALLEL_RUNNER_H
#define MINDSPORE_INCLUDE_API_MODEL_PARALLEL_RUNNER_H
#include <vector>
#include <memory>
#include <utility>
#include <string>
#include "include/api/status.h"
#include "include/api/context.h"
namespace mindspore {
struct RunnerConfig {
  std::shared_ptr<Context> context = nullptr;
  int workers_num = 0;
};
class ModelPool;

/// \brief The ModelParallelRunner class is used to define a MindSpore ModelParallelRunner, facilitating Model
/// management.
class MS_API ModelParallelRunner {
 public:
  ModelParallelRunner() = default;
  ~ModelParallelRunner() = default;

  /// \brief build a model parallel runner from model path so that it can run on a device. Only valid for Lite.
  ///
  /// \param[in] model_path Define the model path.
  /// \param[in] runner_config Define the config used to store options during model pool init.
  ///
  /// \return Status.
  Status Init(const std::string &model_path, const std::shared_ptr<RunnerConfig> &runner_config = nullptr);

  /// \brief Obtains all input tensors information of the model.
  ///
  /// \return The vector that includes all input tensors.
  std::vector<MSTensor> GetInputs();

  /// \brief Obtains all output tensors information of the model.
  ///
  /// \return The vector that includes all output tensors.
  std::vector<MSTensor> GetOutputs();

  /// \brief Inference ModelParallelRunner.
  ///
  /// \param[in] inputs A vector where model inputs are arranged in sequence.
  /// \param[out] outputs Which is a pointer to a vector. The model outputs are filled in the container in sequence.
  /// \param[in] before CallBack before predict.
  /// \param[in] after CallBack after predict.
  ///
  /// \return Status.
  Status Predict(const std::vector<MSTensor> &inputs, std::vector<MSTensor> *outputs,
                 const MSKernelCallBack &before = nullptr, const MSKernelCallBack &after = nullptr);

 private:
  std::shared_ptr<ModelPool> model_pool_ = nullptr;
};
}  // namespace mindspore
#endif  // MINDSPORE_INCLUDE_API_MODEL_PARALLEL_RUNNER_H