Tensorflow 1.2.1中的张量赋值(装饰器？)

import tensorflow as tf

# 创建两个张量
tensor1 = tf.Variable([1, 2, 3])
tensor2 = tf.Variable([4, 5, 6])

# 使用tf.assign函数将tensor2的值赋给tensor1
assign_op = tf.assign(tensor1, tensor2)

# 创建会话并运行赋值操作
with tf.Session() as sess:
    sess.run(tf.global_variables_initializer())
    sess.run(assign_op)
    print(sess.run(tensor1))  # 输出 [4, 5, 6]