text: /**
   * Copyright 2020-2021 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_CCSRC_MINDDATA_DATASET_INCLUDE_EXECUTE_H_
  #define MINDSPORE_CCSRC_MINDDATA_DATASET_INCLUDE_EXECUTE_H_
  
  #include <string>
  #include <vector>
  #include <map>
  #include <memory>
  #include "include/api/context.h"
  #include "include/api/types.h"
  #include "minddata/dataset/include/constants.h"
  #include "minddata/dataset/include/transforms.h"
  
  namespace mindspore {
  namespace dataset {
  class DeviceResource;
  // class to run tensor operations in eager mode
  class Execute {
   public:
    /// \brief Constructor
    // FIXME - Temporarily overload Execute to support both TensorOperation and TensorTransform
    explicit Execute(std::shared_ptr<TensorOperation> op, MapTargetDevice deviceType = MapTargetDevice::kCpu);
    explicit Execute(std::shared_ptr<TensorTransform> op, MapTargetDevice deviceType = MapTargetDevice::kCpu);
    explicit Execute(std::reference_wrapper<TensorTransform> op, MapTargetDevice deviceType = MapTargetDevice::kCpu);
    explicit Execute(TensorTransform *op, MapTargetDevice deviceType = MapTargetDevice::kCpu);
  
    explicit Execute(std::vector<std::shared_ptr<TensorOperation>> ops,
                     MapTargetDevice deviceType = MapTargetDevice::kCpu);
    explicit Execute(std::vector<std::shared_ptr<TensorTransform>> ops,
                     MapTargetDevice deviceType = MapTargetDevice::kCpu);
    explicit Execute(const std::vector<std::reference_wrapper<TensorTransform>> ops,
                     MapTargetDevice deviceType = MapTargetDevice::kCpu);
    explicit Execute(std::vector<TensorTransform *> ops, MapTargetDevice deviceType = MapTargetDevice::kCpu);
  
    /// \brief Destructor
    ~Execute();
  
    /// \brief callable function to execute the TensorOperation in eager mode
    /// \param[in] input Tensor to be transformed
    /// \param[out] output Transformed tensor
    /// \return Status code
    Status operator()(const mindspore::MSTensor &input, mindspore::MSTensor *output);
  
    /// \brief callable function to execute the TensorOperation in eager mode
    /// \param[in] input_tensor_list List of Tensor to be transformed
    /// \param[out] out Result tensor after transform
    /// \return - Status
    Status operator()(const std::vector<mindspore::MSTensor> &input_tensor_list, std::vector<mindspore::MSTensor> *out);
  
    Status DeviceMemoryRelease();
  
    std::string AippCfgGenerator();
  
   private:
    Status ParseTransforms_();
  
    Status validate_device_();
  
    std::vector<std::shared_ptr<TensorTransform>> transforms_;
  
    std::vector<std::shared_ptr<TensorOperation>> ops_;
  
    MapTargetDevice device_type_;
  
    std::shared_ptr<DeviceResource> device_resource_;
  
    struct ExtraInfo;
    std::shared_ptr<ExtraInfo> info_;
  };
  
  }  // namespace dataset
  }  // namespace mindspore
  #endif  // MINDSPORE_CCSRC_MINDDATA_DATASET_INCLUDE_EXECUTE_H_
  