tf.__version__=1.8.0
我通过pip安装了Tensorflow的CPU版本。 尝试运行github提供的examptlt进行constrained_optimization时，我得到了：
import tensorflow as tf
tfco = tf.contrib.constrained_optimization
Traceback (most recent call last):
File "<ipython-input-1-9c9704a9d654>", line 1, in <module>
runfile('D:/Anaconda3/envs/tf/Lib/site-packages/tensorflow/contrib/constrained_optimization/untitled1.py', wdir='D:/Anaconda3/envs/tf/Lib/site-packages/tensorflow/contrib/constrained_optimization')
File "D:\Anaconda3\envs\tf\lib\site-packages\spyder\utils\site\sitecustomize.py", line 710, in runfile
execfile(filename, namespace)
File "D:\Anaconda3\envs\tf\lib\site-packages\spyder\utils\site\sitecustomize.py", line 101, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "D:/Anaconda3/envs/tf/Lib/site-packages/tensorflow/contrib/constrained_optimization/untitled1.py", line 12, in <module>
tfco = tf.contrib.constrained_optimization
File "D:\Anaconda3\envs\tf\lib\site-packages\tensorflow\python\util\lazy_loader.py", line 54, in __getattr__
return getattr(module, item)
AttributeError: module 'tensorflow.contrib' has no attribute 'constrained_optimization'
我无法在tensorflow文件夹/ contrib /中找到constrain_optimiztion文件夹，就像github master中提供的那样。
2018/07/01 17:34 <DIR> all_reduce
2018/07/01 17:34 <DIR> android
2018/07/01 17:34 <DIR> batching
2018/07/01 17:34 <DIR> bayesflow
2018/07/01 17:34 <DIR> boosted_trees
2018/07/01 17:34 <DIR> cloud
2018/07/01 17:34 <DIR> cluster_resolver
2018/07/01 17:34 <DIR> coder
2018/07/01 17:34 <DIR> compiler
2018/07/01 17:34 <DIR> copy_graph
2018/07/01 17:34 <DIR> crf
2018/07/01 17:34 <DIR> cudnn_rnn
2018/07/01 17:34 <DIR> data
虽然github大师提供了：
tensorflow/tensorflow/contrib/constrained_optimization/
我可以尝试GPU版本吗？还是从github构建tensorflow？还是只将文件夹复制到我的pip版本中？