code: def load_micro_batch(self, model_chunk_id):
      data = self._get_data_slice(
          self.batch_data, self.microbatch_offset[model_chunk_id]
      )
      self.microbatch_offset[model_chunk_id] += self.microbatch_size
      return self._move_to_device(data)
  
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 4 for calling the InterleavedPipelineSchedule obj's underlying member method code with example usage: obj.load_micro_batch(model_chunk_id) and returns: self