code: def get_file_init_method(
      *,
      world_size: Optional[int] = None,
      rank: Optional[int] = None,
      filename: Optional[str] = None,
  ) -> str:
      """Gets init method for the TCP protocol for the distributed environment.
      For more information, see here: https://pytorch.org/docs/stable/distributed.html#shared-file-system-initialization
  
      Args:
          world_size: global number of workers. If ``None``, the default is fetched using :function:`get_world_size`.
          rank: Global rank of the worker calling the function. If ``None``, the default is fetched using :function:`get_global_rank`.
          filename: The filename to use for synchronization. If ``None``, a new temporary file is used.
      """
      world_size = (
          world_size if world_size is not None else get_world_size()
      )
      rank = rank if rank is not None else get_global_rank()
      _validate_global_rank_world_size(world_size, rank)
      if filename is None:
          with tempfile.NamedTemporaryFile() as tmp_file:
              filename = tmp_file.name
      init_method = (
          f"file://{filename}?world_size={world_size}&rank={rank}"
      )
      return init_method
  
imports: import os
  import tempfile
  from functools import wraps
  from typing import Any, Callable, cast, List, Optional, TypeVar, Union
  import torch
  import torch.distributed
  import torch.nn.functional
  from torch import Tensor
  from torch.distributed.elastic.utils.distributed import get_free_port
  from typing_extensions import Literal
label_desc: Use image node_id 9 for calling a global function with example usage: get_file_init_method() and returns: init_method