第四步训练时报错

[TernTuring]

错误内容：
/opt/chatbot/Seq2Seq_Chatbot_QA> ./train_model.sh
dim: 6865
准备数据
bucket 0 中有数据 506206 条
bucket 1 中有数据 1091400 条
bucket 2 中有数据 726867 条
bucket 3 中有数据 217104 条
共有数据 2541577 条
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
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.
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.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
Traceback (most recent call last):
File "s2s.py", line 324, in
tf.app.run()
File "/usr/lib/python3.4/site-packages/tensorflow/python/platform/app.py", line 44, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "s2s.py", line 319, in main
train()
File "s2s.py", line 129, in train
model = create_model(sess, False)
File "s2s.py", line 110, in create_model
dtype
File "/opt/chatbot/Seq2Seq_Chatbot_QA/s2s_model.py", line 31, in init
cell = tf.nn.rnn_cell.BasicLSTMCell(size)
AttributeError: 'module' object has no attribute 'rnn_cell'

谢谢

tensorflow版本为1.0.0

[qhduan]

同 #5

这个还没改

[jayli517]

tf.nn.rnn_cell 可以改为 tf.contrib.rnn
参考tensorflow/tensorflow#7664
tf.contrib.legacy_seq2seq也得修改，不过还是出错，作者用的版本比较低，与其修改，我觉得不如直接降级tf版本好了

[qhduan]

这个项目我也是想更新的，不过还没想好怎么玩好～～～
所有tensorflow的contrib里面的代码，不是可能会被改，是肯定会被改，官方都不收contrib的issue～～

[jayli517]

感谢作者，我按照另一个issue的都修改了一下，虽然不报错但是死活不生成model，我也是醉了……

[qhduan]

官方都把translate模型下线了，官网文档那个seq2seq的介绍就是个渣渣～～～我一直在想能不能把模型写的更简单点～～～

[caileilei]

我也包这个错，最终有解决方案吗？

[jianbang]

我第4步报这个错，是啥原因呢：
tensorflow.python.framework.errors_impl.NotFoundError: Unsuccessful TensorSliceReader constructor:o find any matching files for ./model/model1/model
[[Node: save/RestoreV2_15 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_15/tensor_names, save/RestoreV2_15/shape_and_sl

Caused by op 'save/RestoreV2_15', defined at:
File "s2s.py", line 324

[jianbang]

一般用全路径比较靠谱，s2s.py及train_model.sh里的几个相对路径都改为全路径可以解决上面的问题。
还有个FLAGS.test参数好像有点问题，训练时总是调test()，这个在需要train时强行让它掉train()了。