import tensorflow as tf
tf.reset_default_graph()
global_step = tf.Variable(1, name="global_step")
global_step1 = tf.Variable(1, name="global_step1")
add_0 = global_step + global_step1
ckpt_path = r"E:\temp\global_model"
sess = tf.Session()
init = tf.global_variables_initializer()
sess.run(init)
saver = tf.train.Saver()
begin = global_step.eval(session=sess)
for i in range(begin, 50):
#global_step.assign(i).eval(session=sess)
sess.run(global_step.assign_add(i))
print(i, " : ", sess.run(global_step), sess.run(add_0))
saver.save(sess, ckpt_path, global_step=global_step)
import tensorflow as tf
tf.reset_default_graph()
global_step = tf.Variable(1, name="global_step")
global_step1 = tf.Variable(1, name="global_step1")
add_0 = global_step + global_step1
sess = tf.Session()
saver = tf.train.Saver()
model_file = tf.train.latest_checkpoint(r"E:\temp")
saver.restore(sess, model_file)
print(sess.run(global_step))
print(sess.run(add_0))
