code: def __warn_dataloader_iter_limitations(
      model: "pl.LightningModule",
  ) -> None:
      """Check if `dataloader_iter is enabled`."""
      if any(
          is_param_in_hook_signature(
              step_fn, "dataloader_iter", explicit=True
          )
          for step_fn in (
              model.training_step,
              model.validation_step,
              model.predict_step,
              model.test_step,
          )
          if step_fn is not None
      ):
          rank_zero_warn(
              "You are using the `dataloader_iter` step flavor. If you consume the iterator more than once per step, the"
              " `batch_idx` argument in any hook that takes it will not match with the batch index of the last batch"
              " consumed. This might have unforeseen effects on callbacks or code that expects to get the correct index."
              " This will also not work well with gradient accumulation. This feature is very experimental and subject to"
              " change. Here be dragons.",
              category=PossibleUserWarning,
          )
  
file_path: pytorch-lightning/src/lightning/pytorch/trainer/configuration_validator.py
imports: import lightning.pytorch
  from lightning.fabric.utilities.warnings import PossibleUserWarning
  from lightning.pytorch.trainer.states import TrainerFn
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from lightning.pytorch.utilities.imports import _graphcore_available_and_importable
  from lightning.pytorch.utilities.model_helpers import is_overridden
  from lightning.pytorch.utilities.rank_zero import rank_zero_deprecation, rank_zero_warn
  from lightning.pytorch.utilities.signature_utils import is_param_in_hook_signature
label_desc: Use image node_id 6 for calling a global function with example usage: __warn_dataloader_iter_limitations(model) without return types