python - “模块”对象没有属性 'SummaryWriter'

Question

我在 Linux CentOS 7 上使用 Tensorflow 版本 0.12.head 和 Python 2.7，当我运行它时:

import tensorflow as tf

a = tf.constant(5, name="input_a")
b = tf.constant(3, name="input_b")
c = tf.mul(a, b, name="mul_c")
d = tf.add(a, b, name="add_d")
e = tf.add(c, d, name="add_e")
sess = tf.Session()
output = sess.run(e)
writer = tf.train.SummaryWriter('./my_graph', sess.graph)

我收到此错误:

AttributeError                            Traceback (most recent call last) <ipython-input-6-29c037e85eec> in <module>()
----> 1 writer = tf.train.SummaryWriter('./my_graph', sess.graph)

AttributeError: 'module' object has no attribute 'SummaryWriter'

我已经运行了这两个命令，因为存在错误 issue在 Github 上解决同样的问题:

>>> import six
>>> print(six.__version__)
1.10.0
>>> print(dir(six.moves.queue)) ['Empty', 'Full', 'LifoQueue', 'PriorityQueue', 'Queue', '__all__', '__builtins__', '__doc__', '__file__', '__name__', '__package__', '_threading', '_time', 'deque', 'heapq']
>>> print(six.moves.queue.__file__) /usr/lib64/python2.7/Queue.pyc

我是 Python 和 Tensorflow 的新手。你知道我该如何解决这个错误吗？

我已将 SummaryWriter 更改为 FileWriter:

writer = tf.train.FileWriter('./my_graph', sess.graph)

我得到了同样的错误，但使用 FileWriter 函数:

AttributeError                            Traceback (most recent call last)
<ipython-input-8-daa50ea2b8f9> in <module>()
----> 1 writer = tf.train.FileWriter('./my_graph', sess.graph)

AttributeError: 'module' object has no attribute 'FileWriter'

我也在终端中运行过它，我得到了相同的结果:

[VansFannel@localhost ~]$ python
Python 2.7.5 (default, Nov  6 2016, 00:28:07) 
[GCC 4.8.5 20150623 (Red Hat 4.8.5-11)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
W tensorflow/core/platform/cpu_feature_guard.cc:95] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:95] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
>>> a = tf.constant(5, name="input_a")
>>> b = tf.constant(3, name="input_b")
>>> c = tf.mul(a, b, name="mul_c")
>>> d = tf.add(a, b, name="add_d")
>>> e = tf.add(c, d, name="add_e")
>>> sess = tf.Session()
>>> output = sess.run(e)
>>> writer = tf.train.FileWriter('./my_graph', sess.graph)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
AttributeError: 'module' object has no attribute 'FileWriter'
>>> 

Answer 1

tf.train.SummaryWriter 已弃用，改为使用 tf.summary.FileWriter。

↳ Adding Summaries to Event Files

It will be removed after 2016-11-30. Instructions for updating: Please switch to tf.summary.FileWriter. The interface and behavior is the same; this is just a rename.

< TF Official Migration Page > ✳︎ 包括所有当前已弃用/重命名的函数✳︎