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

Preface

在实践《TensorFlow实战Google深度学习框架》一书中的代码时,遇到了一点问题,做下记录

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3.1.2计算图的使用　部分

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")))

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

这里出现这个错误是因为tensorflow版本不一致,书上的是旧版本(0.9.0),而我电脑上安装的是1.8.0

tf.__version__
'1.8.0'

修改为如下代码

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.zeros_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")))

这里抛出了一个警告

WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/util/tf_should_use.py:118: initialize_all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
Instructions for updating:
Use `tf.global_variables_initializer` instead.

替换掉initialize_all_variables即可

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.zeros_initializer()(shape=[1]))

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("v")))

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参考

《TensorFlow实战Google深度学习框架》
终端命令查看TensorFlow版本号及路径
TypeError: init() got an unexpected keyword argument ‘shape’