code: def test_step(images, labels):
      predictions = model(images)
      t_loss = loss_object(labels, predictions)
  
      test_loss(t_loss)
      test_accuracy(labels, predictions)
  
file_path: clearml/examples/frameworks/tensorflow/tensorflow_mnist.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import os
  from tempfile import gettempdir
  import tensorflow
  from tensorflow.keras.layers import Dense, Flatten, Conv2D
  from tensorflow.keras import Model
  from clearml import Task
label_desc: Use image node_id 2 for calling a global function with example usage: test_step(images, labels) without return types