[RE_BGRU_2ATT] 测试问题 about information-extraction-chinese HOT 5 CLOSED

可以给出具体错误码？

另外，有先运行python initial.py吗？

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换成了python3.5版本，tf 版本1.3.0 按照教程，运行了 initial.py --> train_GRU.py -->test_GRU.py 运行报错如下：
gykj@ubuntu:~/git/Information-Extraction-Chinese/RE_BGRU_2ATT$ python3 test_GRU.py
2017-08-29 10:05:16.610068: 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.
2017-08-29 10:05:16.610190: 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.
2017-08-29 10:05:16.610234: 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.
Segmentation fault (core dumped)

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将tf 版本重新安装成1.2.0, 再次运行test_GRU.py,出现如下错误，谢谢您的帮助
NotFoundError (see above for traceback): ./model/ATT_GRU_model-9000.data-00000-of-00001
[[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]

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你好，如果自己重新train的话，是要把test_GRU.py里面的main函数的第一行(127行)换成自己的model名字：

pathname = "./model/ATT_GRU_model-9000"

如果是用我提供的预训练好的模型，请重新pull这个git仓库（抱歉之前少上传了一个模型文件），然后跑initial.py -> test_GRU.py试一下。

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谢谢您的解答，运行没问题

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