code: def byte_tensor_to_object(byte_tensor, max_size=MAX_SIZE_LIMIT):
      """
      Decode PyTorch byte tensors to Python objects
      """
      assert max_size <= MAX_SIZE_LIMIT
  
      obj_size = byte_tensor[0].item() * 256 + byte_tensor[1].item()
      obj_enc = bytes(byte_tensor[2 : 2 + obj_size].tolist())
      obj = pickle.loads(obj_enc)
      return obj
  
imports: import contextlib
  import logging
  import os
  import pickle
  import socket
  import subprocess
  import warnings
  from itertools import chain
  import torch
  from mmf.common.registry import registry
  from torch import distributed
label_desc: Use image node_id 16 for calling a global function with example usage: byte_tensor_to_object(byte_tensor, max_size) and returns: obj