code: def _set_labels(
      self, output_pp_ranks: List[int], microbatch_id: int, microlabels
  ):
      # offset is 0 for all the ranks in up pipeline
      # offset is stage_num for all the ranks in down pipeline
      offset = (microbatch_id % 2) * self.stage_num
      for pp_rank in output_pp_ranks:
          worker_rref = self.pp_rank_to_worker_rref[pp_rank + offset]
          worker_rref.remote().set_labels(microbatch_id, microlabels)
  
imports: import threading
  from typing import Callable, Dict, List
  import torch
  from torch._C._distributed_rpc import PyRRef
  from torch.futures import Future
  from colossalai.legacy.pipeline.pipeline_process_group import ppg
  from colossalai.legacy.pipeline.rpc._pipeline_base import Phase, PipelineEngineBase, UniqueKey, WorkerBase, WorkItem
label_desc: Use image node_id 7 for calling the ChimeraPipelineEngine obj's underlying member method code with example usage: obj._set_labels(output_pp_ranks, microbatch_id, microlabels) without return types