2017-04-01 139 views
2

我刚刚遵循this tutorial关于在Ubuntu 16.04上从源代码安装Tensorflow,对于在Nvidia图形卡上支持完整CUDA和GPU的Python 3.5。安装成功。Tensorflow干净安装后导入错误

我无法在Python会话中导入Tensorflow。

这里是终端输出:

[email protected]:~/Downloads/tensorflow$ python3.5 
Python 3.5.2 (default, Nov 17 2016, 17:05:23) 
[GCC 5.4.0 20160609] on linux 
Type "help", "copyright", "credits" or "license" for more information. 
>>> import tensorflow 
Traceback (most recent call last): 
    File "/home/user/Downloads/tensorflow/tensorflow/python/pywrap_tensorflow.py", line 41, in <module> 
    from tensorflow.python.pywrap_tensorflow_internal import * 
ImportError: No module named 'tensorflow.python.pywrap_tensorflow_internal' 

During handling of the above exception, another exception occurred: 

Traceback (most recent call last): 
    File "<stdin>", line 1, in <module> 
    File "/home/user/Downloads/tensorflow/tensorflow/__init__.py", line 24, in <module> 
    from tensorflow.python import * 
    File "/home/user/Downloads/tensorflow/tensorflow/python/__init__.py", line 51, in <module> 
    from tensorflow.python import pywrap_tensorflow 
    File "/home/user/Downloads/tensorflow/tensorflow/python/pywrap_tensorflow.py", line 52, in <module> 
    raise ImportError(msg) 
ImportError: Traceback (most recent call last): 
    File "/home/user/Downloads/tensorflow/tensorflow/python/pywrap_tensorflow.py", line 41, in <module> 
    from tensorflow.python.pywrap_tensorflow_internal import * 
ImportError: No module named 'tensorflow.python.pywrap_tensorflow_internal' 


Failed to load the native TensorFlow runtime. 

See https://www.tensorflow.org/install/install_sources#common_installation_problems 

for some common reasons and solutions. Include the entire stack trace 
above this error message when asking for help. 
+0

我发现这个(https://stackoverflow.com/questions/43577923/cannot-import-tensorflow-for-gpu-on-windows-10)有帮助。 – elitecho

回答

2

我发现这里的问题,这是非常微不足道的,因此容易被忽视的原因。现在在教程中也提到了它。

我们必须简单地进入另一个目录,即不在所有下载文件尤其是存储Git存储库的文件夹中。

我发现这个解决方案提到as a comment in a bug on Github

-1

如果您在Windows上使用TF1.2.0rc2和CUDNN 6.0,则创建一个名为cudnn64_5.dll的cudnn64_6.dll副本即可。