code: def broadcast_ids_to_evict(ids, group):
      if dist.get_rank() == 0:
          numel = torch.tensor(ids.numel(), dtype=torch.int64)
          dist.broadcast(numel, src=0, group=group)
      else:
          numel = torch.tensor(0, dtype=torch.int64)
          dist.broadcast(numel, src=0, group=group)
          numel = numel.item()
          ids = torch.empty((numel // 2, 2), dtype=torch.int64)
  
      if numel > 0:
          dist.broadcast(ids, src=0, group=group)
      return ids
  
imports: from typing import List, Optional
  import torch
  import torch.distributed
label_desc: Use image node_id 4 for calling a global function with example usage: broadcast_ids_to_evict(ids, group) and returns: ids