code: def _cuda_safe_tensor_to_object(
      tensor: torch.Tensor, tensor_size: torch.Size
  ) -> Any:
      """transform tensor to object with unpickle.
      Info of the device in bytes stream will be modified into current device before unpickling
  
      Args:
          tensor (:class:`torch.tensor`): tensor to be unpickled
          tensor_size (:class:`torch.Size`): Size of the real info in bytes
  
      Returns:
          Any: object after unpickled
      """
      buf = tensor.numpy().tobytes()[:tensor_size]
      if b"cuda" in buf:
          buf_array = bytearray(buf)
          device_index = torch.cuda.current_device()
          # There might be more than one output tensors during forward
          for cuda_str in re.finditer(b"cuda", buf_array):
              pos = cuda_str.start()
              buf_array[pos + 5] = 48 + device_index
          buf = bytes(buf_array)
  
      io_bytes = io.BytesIO(buf)
      byte_pickler = pickle.Unpickler(io_bytes)
      unpickle = byte_pickler.load()
  
      return unpickle
  
imports: import io
  import pickle
  import re
  from collections import namedtuple
  from typing import Any, Callable, List, Optional, Tuple, Union
  import torch
  import torch.distributed
  from packaging.version import Version
  from torch.distributed import ProcessGroup
  from torch.distributed import distributed_c10d
  from torch.utils._pytree import tree_flatten, tree_unflatten
  from .stage_manager import PipelineStageManager
label_desc: Use image node_id 1 for calling a global function with example usage: _cuda_safe_tensor_to_object(tensor, tensor_size) and returns: unpickle