code: def fridge_faster_rcnn_dls(
      fridge_ds, request
  ) -> Tuple[DataLoader, DataLoader]:
      train_ds, valid_ds = fridge_ds
      train_dl = faster_rcnn.train_dl(
          train_ds, batch_size=request.param
      )
      valid_dl = faster_rcnn.valid_dl(
          valid_ds, batch_size=request.param
      )
  
      return train_dl, valid_dl
  
imports: import pytest
  from icevision import *
  from icevision.imports import *
  from icevision.models.torchvision import faster_rcnn, keypoint_rcnn
  from icevision.models.ross import efficientdet
  from icevision.models.ross.efficientdet.backbones import *
  import albumentations
label_desc: Use image node_id 10 for calling a global function with example usage: fridge_faster_rcnn_dls(fridge_ds, request) and returns: train_dl,  valid_dl