code: def _migrate_loop_structure_after_dataloader_loop_removal(
      checkpoint: _CHECKPOINT,
  ) -> _CHECKPOINT:
      """The dataloader loops (``_DataLoaderLoop``, ``_PredictionLoop`, and ``_EvaluationLoop``) were flattened into the
      ``_EvaluationEpochLoop`` (now ``_EvaluationLoop``) and ``_PredictionEpochLoop`` (now ``_PredictionLoop``).
  
      Version: 2.0.0
      Commit: ec4f592ecfe238edd83185f6c6905fb1e2406d61
      PR: #16726
  
      """
      if "loops" not in checkpoint:
          return checkpoint
      loops = checkpoint["loops"]
      for loop_key in ("predict_loop", "validate_loop", "test_loop"):
          if loop_key not in loops:
              continue
          loop = loops[loop_key]
          loop.pop("dataloader_progress", None)  # no longer used
          epoch_loop_key = "epoch_loop."
          epoch_loop_dict = {
              k[len(epoch_loop_key) :]: loop.pop(k)
              for k in list(loop)
              if k.startswith(epoch_loop_key)
          }
          loop.update(epoch_loop_dict)
      return checkpoint
  
file_path: pytorch-lightning/src/lightning/pytorch/utilities/migration/migration.py
imports: import re
  from typing import Any, Callable, Dict, List
  from lightning.fabric.utilities.warnings import PossibleUserWarning
  from lightning.pytorch.callbacks.early_stopping import EarlyStopping
  from lightning.pytorch.callbacks.model_checkpoint import ModelCheckpoint
  from lightning.pytorch.utilities.rank_zero import rank_zero_warn
label_desc: Use image node_id 11 for calling a global function with example usage: _migrate_loop_structure_after_dataloader_loop_removal(checkpoint) and returns: checkpoint, checkpoint