class_docstr: Base class DeepSpeed handler.
class_docstr_tok: ["Base","class","DeepSpeed","handler","."]
code: def get_insights(self, tensor_data, _, target=0):
      print("input shape", tensor_data.shape)
      return self.ig.attribute(
          tensor_data, target=target, n_steps=15
      ).tolist()
  
file_path: serve/ts/torch_handler/dali_handler.py
imports: from abc import ABC
  import numpy
  import torch
  from captum.attr import IntegratedGradients
  from PIL import Image
  from ts.handler_utils.preprocess.dali import get_dali_pipeline
  from ts.torch_handler.base_handler import BaseHandler
label_desc: Use image node_id 3 for calling the DALIHandler obj's underlying member method code with example usage: obj.get_insights(tensor_data, _, target) and returns: self