class_docstr: Top-level loop where prediction starts.
class_docstr_tok: ["Top-level","loop","where","prediction","starts","."]
docstr: Calls ``_on_predict_model_eval``, ``_on_predict_start`` and ``_on_predict_epoch_start`` hooks.
docstr_tok: ["Calls","``","_on_predict_model_eval","``",",","``","_on_predict_start","``","and","``","_on_predict_epoch_start","``","hooks","."]
code: def on_run_start(self) -> None:
      """Calls ``_on_predict_model_eval``, ``_on_predict_start`` and ``_on_predict_epoch_start`` hooks."""
      self._verify_dataloader_idx_requirement()
      self._on_predict_model_eval()
      self._on_predict_start()
      self._on_predict_epoch_start()
  
imports: from collections import OrderedDict
  from typing import Any, Iterator, List, Optional, Union
  import torch
  from lightning_utilities import WarningCache
  import lightning.pytorch
  from lightning.fabric.utilities import move_data_to_device
  from lightning.pytorch.callbacks import BasePredictionWriter
  from lightning.pytorch.loops.fetchers import _DataFetcher, _DataLoaderIterDataFetcher
  from lightning.pytorch.loops.loop import _Loop
  from lightning.pytorch.loops.progress import _Progress
  from lightning.pytorch.loops.utilities import _no_grad_context, _select_data_fetcher, _verify_dataloader_idx_requirement
  from lightning.pytorch.overrides.distributed import _IndexBatchSamplerWrapper
  from lightning.pytorch.strategies.launchers import _MultiProcessingLauncher
  from lightning.pytorch.trainer import call
  from lightning.pytorch.trainer.connectors.data_connector import _check_dataloader_iterable, _DataLoaderSource, _parse_num_batches, _process_dataloader, _request_dataloader
  from lightning.pytorch.trainer.states import RunningStage, TrainerFn
  from lightning.pytorch.utilities.combined_loader import CombinedLoader
  from lightning.pytorch.utilities.data import has_len_all_ranks
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from lightning.pytorch.utilities.model_helpers import _ModuleMode
  from lightning.pytorch.utilities.signature_utils import is_param_in_hook_signature
  from lightning.pytorch.utilities.types import _PREDICT_OUTPUT
label_desc: Use image node_id 10 for calling the _PredictionLoop obj's underlying member method code with example usage: obj.on_run_start() without return types