我正在学习Tensorflow(希望将它与我的聊天机器人集成),并希望运行此处的示例:
https://www.tensorflow.org/tutorials/recurrent
我下载了建议的存储库,安装了tensorflow(现在是cpu-only版本,但是也试过了--gpu)但是我坚持这个:
python ptb_word_lm.py --data_path=simple-examples/data/ --model=small --rnn_mode=basic
2017-09-21 17:38:09.856638: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2017-09-21 17:38:09.856685: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
Traceback (most recent call last):
File "ptb_word_lm.py", line 532, in <module>
tf.app.run()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + …这是一个示例（来自http://anh.cs.luc.edu/python/hands-on/3.1/handsonHtml/ifstatements.html 的代码片段）：
if weight > 50:
print("There is a $25 charge for luggage that heavy.")
print("Thank you for your business.")
我想把整个代码放在即“for”循环中。使用 for(..){上面的代码在这里}会非常容易。我仍然找不到这样做的方法，我需要编写 for 循环并缩进下面的整个块。我想我在这里遗漏了一些东西......