class_docstr: Task object for TF-Ranking.
class_docstr_tok: ["Task","object","for","TF-Ranking","."]
code: def validation_step(
      self, inputs, model: tf.keras.Model, metrics=None
  ):
      if isinstance(inputs, tuple) and len(inputs) == 2:
          features, labels = inputs
      else:
          features, labels = inputs, inputs
      outputs = self.inference_step(features, model)
      loss = self.build_losses(
          labels=labels, model_outputs=outputs, aux_losses=model.losses
      )
      logs = {self.loss: loss}
      if metrics:
          self.process_metrics(metrics, labels, outputs)
      return logs
  
imports: import dataclasses
  from typing import Callable, Dict, Mapping, Optional, Tuple, Union
  import tensorflow
  from tensorflow_ranking.python import data
  from tensorflow_ranking.python.keras import losses
  from tensorflow_ranking.python.keras import metrics
  from tensorflow_ranking.python.keras import model
label_desc: Use image node_id 8 for calling the RankingTask obj's underlying member method code with example usage: obj.validation_step(inputs, model, metrics) and returns: logs