code: def load_variables_from_checkpoint(sess, start_checkpoint):
      """Utility function to centralize checkpoint restoration.
  
      Args:
        sess: TensorFlow session.
        start_checkpoint: Path to saved checkpoint on disk.
      """
      saver = tf.compat.v1.train.Saver(tf.compat.v1.global_variables())
      saver.restore(sess, start_checkpoint)
  
file_path: tensorflow/tensorflow/examples/speech_commands/models.py
imports: import math
  import tensorflow
label_desc: Use image node_id 4 for calling a global function with example usage: load_variables_from_checkpoint(sess, start_checkpoint) without return types