code: def all_gather_from_master(args, data: List) -> List:
      if args.distributed_world_size == 1:
          return data
  
      gathered_data = distributed_utils.all_gather_list(data)
      # Converts [[x0, y0, z0, ...], [x1, y1, z1, ...], [x2, y2, z2, ...], ...]
      # to [[x0, x1, x2, ...], [y0, y1, y2, ...], [z0, z1, z2, ...], ...]
      gathered_data_list = list(zip(*gathered_data))
  
      output_data = []
      for data_index, all_data in enumerate(gathered_data_list):
          # The master's (process 0) data is guaranteed to be in position 0.
          master_data = all_data[0]
          # Sanity check that only the master returned any result.
          if master_data is None:
              raise RuntimeError(
                  f"Input data element {data_index} of all_gather_from_master "
                  f"returned None from master. Results from all processes: {all_data}"
              )
          for i in range(1, len(all_data)):
              if all_data[i] is not None:
                  raise RuntimeError(
                      f"Input data element {data_index} of all_gather_from_master "
                      f"should have returned None from non-master process {i}. "
                      f"Results from all processes: {all_data}"
                  )
          output_data.append(master_data)
      return output_data
  
imports: import argparse
  import ast
  import os
  import signal
  import threading
  import time
  from typing import Dict, List, Optional, Union
  import torch
  from fairseq import distributed_utils, tasks, utils
  from pytorch_translate.file_io import PathManager
label_desc: Use image node_id 9 for calling a global function with example usage: all_gather_from_master(args, data) and returns: output_data, data