# Create some variables. import tensorflow as tf v1 = tf.Variable(5, name="v1") v2 = tf.Variable(10, name="v2") ... # Add an op to initialize the variables. init_op = tf.initialize_all_variables() # Add ops to save and restore all the variables. saver = tf.train.Saver({'v3':v1,'v4':v2}) # Later, launch the model, initialize the variables, do some work, save the # variables to disk. with tf.Session() as sess: sess.run(init_op) # Do some work with the model. # Save the variables to disk. save_path = saver.save(sess, "./tmp/model.ckpt")
print("Model saved in file: ", save_path)
# Create some variables.
v3 = tf.Variable(0, name="v3") v4 = tf.Variable(0, name="v4") # Create model y=tf.mul(v3,v4) # Add ops to save and restore all the variables. saver = tf.train.Saver() # Later, launch the model, use the saver to restore variables from disk, and # do some work with the model. with tf.Session() as sess: # Restore variables from disk. saver.restore(sess, "f:/tmp/model.ckpt") print ("Model restored.") print ("v3 = ", v3.eval()) print ("v4 = ", v4.eval())