code: def pre_processing(self, engine):
      from colossalai.zero.sharded_model.sharded_model_v2 import (
          ShardedModelV2,
      )
  
      if isinstance(engine.model, ShardedModelV2):
          self.dtype = torch.half
      elif isinstance(engine.model[0], NaiveAMPModel):
          self.dtype = torch.half
      for model in engine.model:
          if isinstance(model, NaiveAMPModel):
              model = model.model
          sig = inspect.signature(model.forward)
          for p in sig.parameters.values():
              assert (
                  p.kind != inspect.Parameter.VAR_POSITIONAL
              ), "*args is not supported"
  
imports: import inspect
  from typing import Callable, List, Tuple, Union
  import torch.cuda
  import colossalai.legacy.communication
  from colossalai.legacy.amp.naive_amp import NaiveAMPModel
  from colossalai.legacy.context.parallel_mode import ParallelMode
  from colossalai.legacy.core import global_context
  from colossalai.legacy.utils import switch_virtual_pipeline_parallel_rank
  from colossalai.logging import get_dist_logger
  from colossalai.utils.device import get_current_device
  from ._base_schedule import BaseSchedule
label_desc: Use image node_id 2 for calling the InterleavedPipelineSchedule obj's underlying member method code with example usage: obj.pre_processing(engine) without return types