class_docstr: DenseNetHandler handler class. This handler takes an image
  and returns the name of object in that image.
class_docstr_tok: ["DenseNetHandler","handler","class",".","This","handler","takes","an","image","and","returns","the","name","of","object","in","that","image","."]
code: def __init__(self):
      self.model = None
      self.device = None
      self.initialized = False
      self.context = None
      self.manifest = None
      self.map_location = None
  
file_path: serve/ts/torch_handler/densenet_handler.py
imports: import inspect
  import logging
  import os
  import importlib.util
  import time
  import io
  import torch
label_desc: Use image node_id 1 to create a new DenseNetHandler object  with example: obj = DenseNetHandler()