code: def decode_label(serialized_example):
      """Decode a label from a tf.train.Example in a TFRecord."""
      features = tf.io.parse_single_example(
          serialized_example,
          features={"label": tf.io.FixedLenFeature([], tf.int64)},
      )
      label = tf.cast(features["label"], tf.int32)
      return label
  
file_path: tf-encrypted/tf_encrypted/keras/datasets/convert.py
imports: import tensorflow
label_desc: Use image node_id 4 for calling a global function with example usage: decode_label(serialized_example) and returns: label