code: def get_pipeline_parallel_group() -> torch.distributed.ProcessGroup:
      """Get the pipeline parallel group the caller rank belongs to."""
      assert (
          _PIPELINE_PARALLEL_GROUP is not None
      ), "pipeline parallel group is not initialized"
      return _PIPELINE_PARALLEL_GROUP
  
file_path: fairscale/fairscale/nn/model_parallel/initialize.py
imports: from typing import List, Optional
  import torch
  from .utils import ensure_divisibility
label_desc: Use image node_id 5 for calling a global function with example usage: get_pipeline_parallel_group() and returns: _PIPELINE_PARALLEL_GROUP