AttributeError：'模块'对象没有属性'merge_all_summaries'

Ubuntu 14.04。AttributeError：'模块'对象没有属性'merge_all_summaries'

的Python 2.7.13 ::蟒蛇定制（64位）

我安装Tensorflow按照教程：https://www.tensorflow.org/install/

当我进入

~/anaconda2/lib/python2.7/site-packages/tensorflow/examples/tutorials/mnist

，并尝试运行已经存在python文件：

fully_connected_feed.py

我遇到了下面的AttributeError的：

:~/anaconda2/lib/python2.7/site-packages/tensorflow/examples/tutorials/mnist$ python fully_connected_feed.py 
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcublas.so.8.0 locally 
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcudnn.so.5 locally 
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcufft.so.8.0 locally 
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcuda.so.1 locally 
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcurand.so.8.0 locally 
Extracting Mnist_data/train-images-idx3-ubyte.gz 
Extracting Mnist_data/train-labels-idx1-ubyte.gz 
Extracting Mnist_data/t10k-images-idx3-ubyte.gz 
Extracting Mnist_data/t10k-labels-idx1-ubyte.gz 
Traceback (most recent call last): 
    File "fully_connected_feed.py", line 229, in <module> 
    tf.app.run() 
    File "/home/hok/anaconda2/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 44, in run 
    _sys.exit(main(_sys.argv[:1] + flags_passthrough)) 
    File "fully_connected_feed.py", line 225, in main 
    run_training() 
    File "fully_connected_feed.py", line 154, in run_training 
    summary_op = tf.merge_all_summaries() 
AttributeError: 'module' object has no attribute 'merge_all_summaries'

但在其他计算机上的相同的代码成功运行。所以我认为这一定是我电脑中的配置问题。

我已经按照相同的步骤多次安装tensorflow并使用它运行一段时间的深度学习。但这是我第一次遇到这样的问题。

谷歌有很多建议说这样的AttributeError可能是python版本的问题。但事实并非如此。

来源

2017-02-27 123

两台机器上的tensorflow版本是否相同？ – Evert

[Tensorflow：'module'object has no attribute'scalar \ _summary']可能重复（http://stackoverflow.com/questions/41066244/tensorflow-module-object-has-no-attribute-scalar-summary） –

我已经在队友的帮助下解决了这个问题。

这是tensorflow版本的问题。

前计算机的Tensorflow版本是0.12.1。在计算机遇到AttributeError的Tensorflow版本是1.0.0。这个新的张量流版本已经改变了一些Python api，所以AttributeError满足了。

在这台计算机，其满足AttributeError的：

:~$ python 
Python 2.7.13 |Anaconda custom (64-bit)| (default, Dec 20 2016, 23:09:15) 
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2 
Type "help", "copyright", "credits" or "license" for more information. 
Anaconda is brought to you by Continuum Analytics. 
Please check out: http://continuum.io/thanks and https://anaconda.org 
>>> import tensorflow as tf 
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcublas.so.8.0 locally 
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcudnn.so.5 locally 
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcufft.so.8.0 locally 
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcuda.so.1 locally 
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcurand.so.8.0 locally 
>>> __tf.version__ 
Traceback (most recent call last): 
    File "<stdin>", line 1, in <module> 
NameError: name '__tf' is not defined 
>>> tf.__version__ 
'1.0.0' 
>>>

在前者计算机：

:~$ python 
Python 2.7.13 |Anaconda 2.4.1 (64-bit)| (default, Dec 20 2016, 23:09:15) 
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2 
Type "help", "copyright", "credits" or "license" for more information. 
Anaconda is brought to you by Continuum Analytics. 
Please check out: http://continuum.io/thanks and https://anaconda.org 
>>> import tensorflow as tf 
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so locally 
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcudnn.so locally 
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft.so locally 
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcuda.so.1 locally 
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcurand.so locally 
>>> tf.__version__ 
'0.12.1' 
>>>

来源

2017-02-27 10:24:41 123

在https://stackoverflow.com/a/40066895/4533188你可以回答类似的问题，读了起来：答案是适当迁移。检查出https://www.tensorflow.org/install/migration。在那里，你看到

- tf.merge_summary 
    - should be renamed to tf.summary.merge 
- tf.train.SummaryWriter 
    - should be renamed to tf.summary.FileWriter

在Keras + TensorFlow: “module 'tensorflow' has no attribute 'merge_all_summaries''”（其实SummaryWriter也被改变了。）所以，你应该可以，如果你的代码

import tensorflow as tf 
tf.merge_all_summaries = tf.summary.merge_all 
tf.train.SummaryWriter = tf.summary.FileWriter

之前写来解决问题（我有同样的问题）

来源

2017-03-03 18:14:48 Make42

AttributeError：'模块'对象没有属性'merge_all_summaries'

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