code: def build_valid_batch(
      records: Sequence[RecordType],
  ) -> Tuple[dict, List[Dict[str, torch.Tensor]]]:
      return build_train_batch(records=records)
  
file_path: icevision/icevision/models/mmdet/common/mask/dataloaders.py
imports: from mmdet.core import BitmapMasks
  from icevision.core import *
  from icevision.imports import *
  from icevision.models.utils import *
  from icevision.models.mmdet.common.bbox.dataloaders import _img_tensor, _img_meta, _labels, _bboxes
label_desc: Use image node_id 4 for calling a global function with example usage: build_valid_batch(records) and returns: build_train_batch