code: def decode_image(serialized_example):
      """Decode an image from a tf.train.Example in a TFRecord."""
      features = tf.io.parse_single_example(
          serialized_example,
          features={"image": tf.io.FixedLenFeature([], tf.string)},
      )
      image = tf.io.decode_raw(features["image"], tf.uint8)
      return image
  
file_path: tf-encrypted/tf_encrypted/keras/datasets/convert.py
imports: import tensorflow
label_desc: Use image node_id 2 for calling a global function with example usage: decode_image(serialized_example) and returns: image