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

Question

Ubuntu 14.04。

Python 2.7.13 :: Anaconda 自定义（64 位）

我按照教程安装了 Tensorflow：https://www.tensorflow.org/install/

当我输入

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

并尝试运行已经存在的 python 文件：

fully_connected_feed.py

我遇到了下面的 AttributeError:

:~/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'

但是相同的代码运行在其他电脑上成功了。所以我想肯定是我电脑的配置问题。

同样的步骤安装了很多次tensorflow，用了一段时间运行深度学习。不过我还是第一次遇到这样的问题。

Google中有很多建议说这种AttributeError可能是python版本的问题。但事实并非如此。

Answer 1

在队友的帮助下我已经解决了这个问题

这是 tensorflow 版本 的问题。

以前电脑中的Tensorflow版本是0.12.1。电脑中遇到AttributeError的Tensorflow版本是1.0.0。这个新的tensorflow版本改变了一些Python api，所以遇到了AttributeError。

在这台电脑中遇到AttributeError:

:~$ 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'
>>>

在以前的电脑中：

:~$ 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'
>>>

Answer 2

在 you can read up on an answer to a similar problem: The answer is to migrate as appropriate. Check out https://www.tensorflow.org/install/migration。你看

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

（其实SummaryWriter也改了。）所以你在代码之前写应该可以解决你的问题

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

（我在中遇到了同样的问题。）

Answer 3

您需要更新 python 文件中已弃用的 Tensorflow API 运行即 fully_connected_feed.py

查找 tf.merge_all_summaries() 并将其替换为 tf.summary.merge_all()

当前版本的 Tensorflow 使用

tf.summary.merge_all()

而不是使用

的旧版本

tf.merge_all_summaries()

Answer 4

这对我有用

import tensorflow as tf
tf.merge_all_summaries = tf.compat.v1.summary.merge_all
tf.train.SummaryWriter = tf.compat.v1.summary.FileWriter

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

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

python-2.7

anaconda

ubuntu-14.04

tensorflow