无法在 jupyter notebook 中导入 tensorflow（Linux Mint 19）

Question

我是 jupyter 和 tensorflow 的初学者。我尝试安装 tensorflow，但它不起作用。我确实尝试了您之前发布的一些建议，但似乎没有任何效果。

virtualenv --version

15.1.0

python3 --version

Python 3.6.7

pip3 --version

pip 19.1.1 from /usr/local/lib/python3.6/dist-packages/pip (python 3.6)

我试图 pip install tensorflow 但它一直给我这个错误：

import tensorflow as tf

ImportError                               Traceback (most recent call last)
/home/tzions/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py in <module>()
     57 
---> 58   from tensorflow.python.pywrap_tensorflow_internal import *
     59   from tensorflow.python.pywrap_tensorflow_internal import __version__

/home/tzions/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py in <module>()
     27             return _mod
---> 28     _pywrap_tensorflow_internal = swig_import_helper()
     29     del swig_import_helper

/home/tzions/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py in swig_import_helper()
     23             try:
---> 24                 _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
     25             finally:

/usr/lib/python3.6/imp.py in load_module(name, file, filename, details)
    242         else:
--> 243             return load_dynamic(name, filename, file)
    244     elif type_ == PKG_DIRECTORY:

/usr/lib/python3.6/imp.py in load_dynamic(name, path, file)
    342             name=name, loader=loader, origin=path)
--> 343         return _load(spec)
    344 

ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory

During handling of the above exception, another exception occurred:

ImportError                               Traceback (most recent call last)
<ipython-input-3-64156d691fe5> in <module>()
----> 1 import tensorflow as tf

/home/tzions/.local/lib/python3.6/site-packages/tensorflow/__init__.py in <module>()
     22 
     23 # pylint: disable=wildcard-import
---> 24 from tensorflow.python import *
     25 # pylint: enable=wildcard-import
     26 

/home/tzions/.local/lib/python3.6/site-packages/tensorflow/python/__init__.py in <module>()
     47 import numpy as np
     48 
---> 49 from tensorflow.python import pywrap_tensorflow
     50 
     51 # Protocol buffers

/home/tzions/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py in <module>()
     72 for some common reasons and solutions.  Include the entire stack trace
     73 above this error message when asking for help.""" % traceback.format_exc()
---> 74   raise ImportError(msg)
     75 
     76 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long

ImportError: Traceback (most recent call last):
  File "/home/tzions/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/home/tzions/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/home/tzions/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "/usr/lib/python3.6/imp.py", line 243, in load_module
    return load_dynamic(name, filename, file)
  File "/usr/lib/python3.6/imp.py", line 343, in load_dynamic
    return _load(spec)
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory


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.

如果有人能告诉我如何使它工作，那就太好了。我已经安装了一些其他已指出必要的东西，如果需要安装其他任何东西，请告诉我。

Answer 1

在导入时，代码正在寻找一个 libcublas.so.9.0 文件夹，如果您的 CUDA 版本为 9.0，您将拥有该文件夹，但如果它是其他版本，例如 9.1，则找不到此文件夹，因为最终编号不一样。

当您安装 tensorflow-gpu-1.5 时，它需要 CUDA 9.0，因此如果您的 CUDA 版本是 8.0，您可以解决安装 tensorflow-gpu-1.4 的问题，因为它将是必需的，其中：

pip install --upgrade tensorflow-gpu==1.4

如果您的 CUDA 版本是 CUDA 9.1 等更高版本，如果您不需要更高版本的功能，则可以将 CUDA 版本降级到 9.0，使用：

sudo apt-get install cuda-9.0

并继续使用 tensorflow-gpu-1.5。