code: def get_pipeline_model_parallel_last_rank():
      """Return the global rank of the last process in the pipeline for the
      current tensor parallel group"""
      assert (
          _PIPELINE_GLOBAL_RANKS is not None
      ), "Pipeline parallel group is not initialized"
      last_rank_local = get_pipeline_model_parallel_world_size() - 1
      return _PIPELINE_GLOBAL_RANKS[last_rank_local]
  
imports: import os
  from typing import Optional
  import torch
  from .utils import GlobalMemoryBuffer
label_desc: Use image node_id 42 for calling a global function with example usage: get_pipeline_model_parallel_last_rank() and returns: _PIPELINE_GLOBAL_RANKS