code: def create_worker_input_transform_processor(
      running_stage: RunningStage, input_transform: InputTransform
  ) -> _InputTransformProcessor:
      """This utility is used to create the 2 `_InputTransformProcessor` objects which contain the transforms used as the
      DataLoader `collate_fn`."""
      worker_collate_fn, _ = __configure_worker_and_device_collate_fn(
          running_stage=running_stage, input_transform=input_transform
      )
      return _InputTransformProcessor(
          input_transform,
          worker_collate_fn,
          input_transform._per_sample_transform,
          input_transform._per_batch_transform,
          running_stage,
      )
  
imports: import inspect
  from dataclasses import dataclass
  from functools import partial
  from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple
  from pytorch_lightning.utilities import rank_zero_warn
  from pytorch_lightning.utilities.enums import LightningEnum
  from flash.core.data.callback import ControlFlow
  from flash.core.data.utilities.collate import default_collate
  from flash.core.data.utils import _STAGES_PREFIX
  from flash.core.utilities.stages import RunningStage
  from flash.core.utilities.types import INPUT_TRANSFORM_TYPE
label_desc: Use image node_id 4 for calling a global function with example usage: create_worker_input_transform_processor(running_stage, input_transform) and returns: _InputTransformProcessor