class_docstr: Base default handler to load torchscript or eager mode [state_dict] models
  Also, provides handle method per torch serve custom model specification
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docstr: The post process function makes use of the output from the inference and converts into a
  Torchserve supported response output.
  
  Args:
      data (Torch Tensor): The torch tensor received from the prediction output of the model.
  
  Returns:
      List: The post process function returns a list of the predicted output.
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code: def postprocess(self, data):
      """
      The post process function makes use of the output from the inference and converts into a
      Torchserve supported response output.
  
      Args:
          data (Torch Tensor): The torch tensor received from the prediction output of the model.
  
      Returns:
          List: The post process function returns a list of the predicted output.
      """
  
      return data.tolist()
  
imports: import abc
  import importlib.util
  import logging
  import os
  import time
  import torch
  from pkg_resources import packaging
  from ts.handler_utils.timer import timed
  from ..utils.util import check_valid_pt2_backend, list_classes_from_module, load_label_mapping
label_desc: Use image node_id 9 for calling the BaseHandler obj's underlying member method code with example usage: obj.postprocess(data) and returns: data