AIDatasetConfig.h

 
#pragma once
#include <aws/core/utils/memory/stl/AWSVector.h>
#include <aws/sagemaker/SageMaker_EXPORTS.h>
#include <aws/sagemaker/model/AIWorkloadInputDataConfig.h>
 
#include <utility>
 
namespace Aws {
namespace Utils {
namespace Json {
class JsonValue;
class JsonView;
}  // namespace Json
}  // namespace Utils
namespace SageMaker {
namespace Model {
 
class AIDatasetConfig {
 public:
  AWS_SAGEMAKER_API AIDatasetConfig() = default;
  AWS_SAGEMAKER_API AIDatasetConfig(Aws::Utils::Json::JsonView jsonValue);
  AWS_SAGEMAKER_API AIDatasetConfig& operator=(Aws::Utils::Json::JsonView jsonValue);
  AWS_SAGEMAKER_API Aws::Utils::Json::JsonValue Jsonize() const;
 
 
  inline const Aws::Vector<AIWorkloadInputDataConfig>& GetInputDataConfig() const { return m_inputDataConfig; }
  inline bool InputDataConfigHasBeenSet() const { return m_inputDataConfigHasBeenSet; }
  template <typename InputDataConfigT = Aws::Vector<AIWorkloadInputDataConfig>>
  void SetInputDataConfig(InputDataConfigT&& value) {
    m_inputDataConfigHasBeenSet = true;
    m_inputDataConfig = std::forward<InputDataConfigT>(value);
  }
  template <typename InputDataConfigT = Aws::Vector<AIWorkloadInputDataConfig>>
  AIDatasetConfig& WithInputDataConfig(InputDataConfigT&& value) {
    SetInputDataConfig(std::forward<InputDataConfigT>(value));
    return *this;
  }
  template <typename InputDataConfigT = AIWorkloadInputDataConfig>
  AIDatasetConfig& AddInputDataConfig(InputDataConfigT&& value) {
    m_inputDataConfigHasBeenSet = true;
    m_inputDataConfig.emplace_back(std::forward<InputDataConfigT>(value));
    return *this;
  }
 private:
  Aws::Vector<AIWorkloadInputDataConfig> m_inputDataConfig;
  bool m_inputDataConfigHasBeenSet = false;
};
 
}  // namespace Model
}  // namespace SageMaker
}  // namespace Aws