code: def normalize_img(image, label):
      """Normalizes images: `uint8` -> `float32`."""
      return tf.cast(image, tf.float32) / 255.0, label
  
imports: import tensorflow.compat.v2
  import tensorflow_datasets
  from tensorflow.keras import Sequential
  from tensorflow.python.framework.ops import disable_eager_execution
label_desc: Use image node_id 1 for calling a global function with example usage: normalize_img(image, label) and returns: unknown,  label