相关疑难解决方法(0)

我想第一次运行keras.我安装了以下模块:

pip install keras --user
pip install tensorflow --user

然后尝试运行https://github.com/fchollet/keras/blob/master/examples/mnist_cnn.py.

但它给了我:

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

这些是我正在使用的版本.

print tensorflow.__version__
0.11.0rc0
print keras.__version__
1.1.0

我能做些什么才能让keras与tensorflow一起运行？

Ubuntu 14.04。

Python 2.7.13 :: Anaconda自定义（64位）

我按照教程安装Tensorflow：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的python文件：

fully_connected_feed.py

我遇到了以下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 …