class_docstr: Base class DeepSpeed handler.
class_docstr_tok: ["Base","class","DeepSpeed","handler","."]
code: def initialize(self, context):
      super().initialize(context)
      self.ig = IntegratedGradients(self.model)
      self.initialized = True
      properties = context.system_properties
      if not properties.get("limit_max_image_pixels"):
          Image.MAX_IMAGE_PIXELS = None
      self.pipeline = get_dali_pipeline(context)
  
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 1 for calling the DALIHandler obj's underlying member method code with example usage: obj.initialize(context) without return types