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

采用TensorFlow支持通过tf.Graph函数来生成新的向量图，代码如下：

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(
"v",initializer=tf.ones_initializer(shape = [1]))

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

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

执行后发生如下错误：



解决办法：因为上述代码写法是TensorFlow旧版本的写法，将Line6 和Line10 改如下如下可以实现代码的正常运行：

v = tf.get_variable("v",initializer=tf.zeros_initializer()(shape = [1]))

v = tf.get_variable( "v",initializer=tf.ones_initializer()(shape = [1]))

输出结果如下图：



明显有一个更新提示，表示该初始化的语句也需要进行更新：

tf.initialize_all_variables().run() 变成 tf.global_variables_initializer().run()

最后输出结果：



参考链接：https://stackoverflow.com/questions/44946189/typeerror-init-got-an-unexpected-keyword-argument-shape