code: def prepare_data():
      """Load and normalize data."""
      ((x_train, y_train), (x_test, y_test)) = DATASET.load_data()
      x_train = x_train.astype("float32")
      x_test = x_test.astype("float32")
      x_train /= 255.0
      x_test /= 255.0
      return ((x_train, y_train), (x_test, y_test))
  
file_path: tensorboard/tensorboard/plugins/hparams/hparams_demo.py
imports: import os.path
  import random
  import shutil
  from absl import app
  from absl import flags
  import numpy
  import tensorflow
  from tensorboard.plugins.hparams import api
label_desc: Use image node_id 3 for calling a global function with example usage: prepare_data() and returns: x_train,  y_train,  x_test,  y_test