code: def __init__(
      self, input_data: List[Tuple[Any, ...]], input_names: List[str]
  ):
      self._input_data = input_data
      self._input_names = input_names
  
file_path: nebuly/optimization/nebullvm/nebullvm/operations/optimizations/compilers/quantizations/openvino.py
imports: from typing import List, Tuple, Any
  import numpy
  from nebullvm.optional_modules.openvino import DataLoader, load_model, IEEngine, create_pipeline, compress_model_weights, save_model
label_desc: Use image node_id 1 to create a new _CalibrationDataLoader object from inherited base classes: DataLoader with example: obj = _CalibrationDataLoader(input_data, input_names)