code: def test_step(self, data):
      y = data["label"]
  
      y_pred = self(data, training=False)
      self.compiled_loss(y, y_pred, regularization_losses=self.losses)
  
      self.compiled_metrics.update_state(y, y_pred)
      return {m.name: m.result() for m in self.metrics}
  
imports: import math
  import os
  import shutil
  import tempfile
  import pytest
  from unittest import TestCase
  import tensorflow
  import numpy
  from bigdl.orca.data.pandas import read_csv
  from bigdl.orca.data import SparkXShards, XShards
  from bigdl.orca.data.tf.data import Dataset
  from bigdl.orca.learn.tf2 import Estimator
  from bigdl.orca.ray import OrcaRayContext
  from bigdl.orca import OrcaContext
label_desc: Use image node_id 4 for calling the SimpleModel obj's underlying member method code with example usage: obj.test_step(data) and returns: unknown