code: def __init__(
      self,
      calibration_dataset: Dataset,
      quantizer,
      model_path,
      qconfig,
      calibration_params,
      node_exclusion,
  ):
      self.calibration_dataset = calibration_dataset
      self.quantizer = quantizer
      self.model_path = model_path
      self.qconfig = qconfig
      self.calibration_params = calibration_params
      self.node_exclusion = node_exclusion
  
imports: import os
  import subprocess
  from contextlib import contextmanager
  from time import perf_counter_ns
  from typing import Set
  import numpy
  import optuna
  import torch
  import transformers
  from datasets import Dataset
  from tqdm import trange
  from .None import version
  from .utils.preprocessing import ImageClassificationProcessing, QuestionAnsweringProcessing, TextClassificationProcessing, TokenClassificationProcessing
  from .utils.runs import RunConfig, cpu_info_command
label_desc: Use image node_id 1 to create a new Calibrator object  with example: obj = Calibrator(calibration_dataset, quantizer, model_path, qconfig, calibration_params, node_exclusion)