code: def model_fn(model_dir):
      model = torch.nn.DataParallel(Net())
      with open(os.path.join(model_dir, "model.pth"), "rb") as f:
          model.load_state_dict(torch.load(f))
      return model
  
imports: import argparse
  import json
  import logging
  import os
  import sys
  import torch
  import torch.distributed
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import torch.utils.data
  import torch.utils.data.distributed
  from torchvision import datasets, transforms
label_desc: Use image node_id 6 for calling a global function with example usage: model_fn(model_dir) and returns: model