class_docstr: PL Lightning Module for the UFLOW algorithm.
class_docstr_tok: ["PL","Lightning","Module","for","the","UFLOW","algorithm","."]
code: def validation_step(
      self, batch: dict[str, str | Tensor], *args, **kwargs
  ) -> STEP_OUTPUT:
      anomaly_maps = self.model(batch["image"])
      batch["anomaly_maps"] = anomaly_maps
      return batch
  
file_path: anomalib/src/anomalib/models/uflow/lightning_model.py
imports: from __future__ import annotations
  import torch
  from omegaconf import DictConfig, ListConfig
  from pytorch_lightning.callbacks import EarlyStopping
  from pytorch_lightning.utilities.types import STEP_OUTPUT
  from torch import Tensor
  from anomalib.models.components import AnomalyModule
  from anomalib.models.uflow.loss import UFlowLoss
  from anomalib.models.uflow.torch_model import UflowModel
label_desc: Use image node_id 3 for calling the Uflow obj's underlying member method code with example usage: obj.validation_step(batch) and returns: batch