code: def xla_distribute_module(
      module: nn.Module,
      device_mesh: Optional[DeviceMesh] = None,
      partition_fn: Optional[
          Callable[[str, nn.Module, DeviceMesh], None]
      ] = None,
      input_fn: Optional[Callable[..., None]] = None,
      output_fn: Optional[Callable[..., None]] = None,
  ) -> nn.Module:
      raise NotImplementedError
  
file_path: pytorch/torch/distributed/_tensor/_xla.py
imports: import logging
  import os
  from functools import wraps
  from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Union
  import torch
  import torch.nn
  from torch.distributed._tensor.placement_types import Placement, Replicate
  from torch.distributed.device_mesh import DeviceMesh
label_desc: Use image node_id 5 for calling a global function with example usage: xla_distribute_module(module, device_mesh, partition_fn, input_fn, output_fn) without return types