tf.assign_add

 

import tensorflow as tf



global_step = tf.Variable(1.0, dtype=tf.float64, trainable=False, name='global_step')
global_step_update = tf.assign_add(global_step, 1.0)
sess=tf.Session()
sess.run(tf.global_variables_initializer())
for i in range(4):
    a=sess.run(global_step)
    print('global_step=',a)
    b=sess.run(global_step_update)
    print('global_rate=',b)