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 _load_torchscript_model(self, model_pt_path):
      return torch.jit.load(
          model_pt_path, map_location=self.map_location
      )
  
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 3 for calling the DenseNetHandler obj's underlying member method code with example usage: obj._load_torchscript_model(model_pt_path) and returns: torch