Python 'module' 对象没有属性 'SummaryWriter'
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'module' object has no attribute 'SummaryWriter'
提问by VansFannel
I'm using Tensorflow version 0.12.head with Python 2.7 on a linux CentOS 7 and when I run this:
我在 Linux CentOS 7 上使用带有 Python 2.7 的 Tensorflow 版本 0.12.head，当我运行这个时：
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)
I get this error:
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'
I have run these two commands because there is bug issueon Github for the same problem:
我因为有错误运行这两个命令的问题在Github上的同样的问题：
>>> 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
I'm new in Python and in Tensorflow. Do you know how can I fix this error?
我是 Python 和 Tensorflow 的新手。你知道我该如何解决这个错误吗？
I have changed SummaryWriterwith FileWriter:
我已经改变SummaryWriter了FileWriter：
writer = tf.train.FileWriter('./my_graph', sess.graph)
And I get the same error but with FileWriterfunction:
我得到了同样的错误，但具有FileWriter功能：
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'
I have also run it in a terminal and I get the same result:
我也在终端中运行它，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'
>>>
回答by l'L'l
tf.train.SummaryWriteris deprecated, instead use tf.summary.FileWriter.
tf.train.SummaryWriter已弃用，请改用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.
它将在 2016-11-30 之后移除。更新说明：请切换到
tf.summary.FileWriter. 界面和行为是一样的；这只是一个重命名。
<TF Official Migration Page> ?? includes all current deprecated/renamed functions ??
< TF Official Migration Page> ?? 包括所有当前已弃用/重命名的函数？
回答by Salvador Dali
In a new version of TF, all summary functions were renamed.
在新版本的 TF 中，所有汇总函数都被重命名为.
Summary functions have been consolidated under the tf.summarynamespace.
汇总函数已合并到tf.summary命名空间下。
Deprecated Replacement
----------------------------------------------------------------------------------
tf.audio_summary tf.summary.audio
tf.contrib.deprecated.histogram_summary tf.summary.histogram
tf.contrib.deprecated.scalar_summary tf.summary.scalar
tf.histogram_summary tf.summary.histogram
tf.image_summary tf.summary.image
tf.merge_all_summaries tf.summary.merge_all
tf.merge_summary tf.summary.merge
tf.scalar_summary tf.summary.scalar
tf.train.SummaryWriter tf.summary.FileWriter
----------------------------------------------------------------------------------
回答by Ken M
i had the same problem...i am using pything 3.5.2...see solution below...hope this works for you..it did for me (it will create a log in your tmp folder):
我遇到了同样的问题...我正在使用 pything 3.5.2...请参阅下面的解决方案...希望这对您有用...它对我有用（它将在您的 tmp 文件夹中创建一个日志）：
import tensorflow as tf
a = tf.constant(5, name="input_a")
b = tf.constant(3, name="input_a")
c = tf.multiply(a,b, name="mul_c")
d = tf.add(a,b, name="add_d")
e = tf.add(c,d, name="add_e")
sess = tf.Session()
sess.run(e)
output = sess.run(e)
writer = tf.summary.FileWriter('/tmp/tensorflow_logs', graph=sess.graph)
print(sess.run(e))
