class_docstr: A class object for the data handling activities of Image Classification
  Task and returns a KServe compatible response.
  
  Args:
      kserve (class object): The Model class from the KServe
      modeule is passed here.
docstr: Post process function of Torchserve on the Kserve side is
  written here.
  
  Args:
      inputs (List): The list of the inputs
  
  Returns:
      List: If a post process functionality is specified, it converts that into
      a list.
docstr_tok: ["Post","process","function","of","Torchserve","on","the","Kserve","side","is","written","here",".","Args",":","inputs","(","List",")",":","The","list","of","the","inputs","Returns",":","List",":","If","a","post","process","functionality","is","specified",",","it","converts","that","into","a","list","."]
code: def postprocess(self, inputs: List) -> List:
      """Post process function of Torchserve on the Kserve side is
      written here.
  
      Args:
          inputs (List): The list of the inputs
  
      Returns:
          List: If a post process functionality is specified, it converts that into
          a list.
      """
      return inputs
  
file_path: serve/kubernetes/kserve/image_transformer/image_transformer/image_transformer.py
imports: import base64
  import io
  import json
  import logging
  from typing import Dict, List
  import kserve
  import torchvision.transforms
  import tornado
  from kserve.model import Model
  from PIL import Image
label_desc: Use image node_id 3 for calling the ImageTransformer obj's underlying member method code with example usage: obj.postprocess(inputs) and returns: inputs