TypeError: __init__() got an unexpected keyword argument 'shape'

tensorFlow入门书籍中的代码

import tensorflow as tf

g1 = tf.Graph()
with g1.as_default():
    v = tf.get_variable("v", initializer=tf.zeros_initializer(shape=[1]))

g2 = tf.Graph()
with g2.as_default():
    v = tf.get_variable("v2", initializer=tf.ones_initializer(shape=[3,2])())

with tf.Session(graph=g1) as sess:
    tf.global_variables_initializer().run()
    with tf.variable_scope("", reuse=True):
        print(sess.run(tf.get_variable("v")))

with tf.Session(graph=g2) as sess:
    tf.global_variables_initializer().run()
    with tf.variable_scope("", reuse=True):
        print(sess.run(tf.get_variable("v2")))

运行的时候遇到如下问题

Traceback (most recent call last):
  File "C:/Users/Tobin/PycharmProjects/TF_study/test1.py", line 5, in <module>
    v = tf.get_variable("v", initializer=tf.zeros_initializer(shape=[1]))
TypeError: __init__() got an unexpected keyword argument 'shape

网上搜了下发现，最新版的TensorFlow已经不支持这样的写法了，应该讲代码改成

 v = tf.get_variable("v2", initializer=tf.ones_initializer()(shape=[3,2]))

那本《TensorFlow：实战Google深度学习框架》是比较早的一本书了，里面部分函数的的用法可能现在已经不支持了，所以要注意下