text: import tensorflow as tf
  
  tf.reset_default_graph()
  
  save_file = 'model.ckpt'
  
  # Two Tensor Variables: weights and bias
  weights = tf.Variable(tf.truncated_normal([2, 3]), name='weights_0')
  bias = tf.Variable(tf.truncated_normal([3]), name='bias_0')
  
  saver = tf.train.Saver()
  
  # Print the name of Weights and Bias
  print('Save Weights: {}'.format(weights.name))
  print('Save Bias: {}'.format(bias.name))
  
  with tf.Session() as sess:
      sess.run(tf.initialize_all_variables())
      saver.save(sess, save_file)
  
  # Remove the previous weights and bias
  tf.reset_default_graph()
  
  # Two Variables: weights and bias
  bias = tf.Variable(tf.truncated_normal([3]), name='bias_0')
  weights = tf.Variable(tf.truncated_normal([2, 3]) ,name='weights_0')
  
  saver = tf.train.Saver()
  
  # Print the name of Weights and Bias
  print('Load Weights: {}'.format(weights.name))
  print('Load Bias: {}'.format(bias.name))
  