tf.identity()的理解

import tensorflow as tf
x = tf.Variable(1.0)
x_plus_1 = tf.assign_add(x, 1)

with tf.control_dependencies([x_plus_1]):
y = x
z=tf.identity(x,name='x')
init = tf.global_variables_initializer()
with tf.Session() as sess:
sess.run(init)
for i in range(5):
print(sess.run(z))

import tensorflow as tf
x = tf.Variable(1.0)
x_plus_1 = tf.assign_add(x, 1)

with tf.control_dependencies([x_plus_1]):
y = x
z=tf.identity(x,name='x')
init = tf.global_variables_initializer()
with tf.Session() as sess:
sess.run(init)
for i in range(5):
print(sess.run(y))