code: def synchronize_params(path, device, *modules):
      if dist.get_world_size() < 2:
          return
      rank = dist.get_rank()
      if rank == 0:
          _LG.info(
              "[Parameter Sync]: Saving parameters to a temp file..."
          )
          torch.save(
              {f"{i}": m.state_dict() for i, m in enumerate(modules)},
              path,
          )
      dist.barrier()
      if rank != 0:
          _LG.info("[Parameter Sync]:    Loading parameters...")
          data = torch.load(path, map_location=device)
          for i, m in enumerate(modules):
              m.load_state_dict(data[f"{i}"])
      dist.barrier()
      if rank == 0:
          _LG.info("[Parameter Sync]: Removing the temp file...")
          os.remove(path)
      _LG.info_on_master("[Parameter Sync]: Complete.")
  
file_path: audio/examples/source_separation/utils/dist_utils.py
imports: import csv
  import logging
  import os
  import types
  import torch
  import torch.distributed
label_desc: Use image node_id 7 for calling a global function with example usage: synchronize_params(path, device) without return types