code: def rpc_partition_to_workers(
      current_ctx: DistContext,
      num_partitions: int,
      current_partition_idx: int,
  ):
      r"""Performs an :obj:`all_gather` to get the mapping between partition and
      workers.
      """
      ctx = current_ctx
      partition_to_workers = [[] for _ in range(num_partitions)]
      gathered_results = global_all_gather(
          (ctx.role, num_partitions, current_partition_idx)
      )
      for worker_name, (role, nparts, idx) in gathered_results.items():
          partition_to_workers[idx].append(worker_name)
      return partition_to_workers
  
imports: import logging
  import threading
  from abc import ABC, abstractmethod
  from typing import Any, Callable, Dict, List, Optional
  from torch.distributed import rpc
  from torch_geometric.distributed.dist_context import DistContext, DistRole
label_desc: Use image node_id 7 for calling a global function with example usage: rpc_partition_to_workers(current_ctx, num_partitions, current_partition_idx) and returns: partition_to_workers