class_docstr: A training engine hybrid pipeline, data, and model parallel training.
  
  This engine is created by ``deepspeed.initialize()`` when a :class:`PipelineModule`
  is provided.
docstr: True if this process is in the last stage in the pipeline.
docstr_tok: ["True","if","this","process","is","in","the","last","stage","in","the","pipeline","."]
code: def is_last_stage(self):
      """True if this process is in the last stage in the pipeline."""
      return self.stage_id == self.num_stages - 1
  
imports: from types import MethodType
  import torch
  from deepspeed import comm
  from deepspeed.utils import logger
  from deepspeed.utils.timer import ThroughputTimer
  from ..engine import DeepSpeedEngine, MEMORY_OPT_ALLREDUCE_SIZE
  from ..utils import PartitionedTensor
  from ..dataloader import RepeatingLoader
  from .module import PipelineModule, PipelineError
  from .None import p2p
  from .None import schedule
label_desc: Use image node_id 13 for calling the PipelineEngine obj's underlying member method code with example usage: obj.is_last_stage() and returns: unknown