最近因为特殊的原因重新安装了python，但是引发了一个很严重的问题——TensorFlow不好使了。

比如我下面这个执行文件test.py：

import tensorflow as tf
print(tf.__version__)

得到的结果：

ubuntu@ubuntu:~/workspace$ sudo python test.py
Traceback (most recent call last):File "/home/ubuntu/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>from tensorflow.python.pywrap_tensorflow_internal import *File "/home/ubuntu/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>_pywrap_tensorflow_internal = swig_import_helper()File "/home/ubuntu/.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/local/python3/lib/python3.6/imp.py", line 243, in load_modulereturn load_dynamic(name, filename, file)File "/usr/local/python3/lib/python3.6/imp.py", line 343, in load_dynamicreturn _load(spec)
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directoryDuring handling of the above exception, another exception occurred:Traceback (most recent call last):File "test.py", line 1, in <module>import tensorflow as tfFile "/home/ubuntu/.local/lib/python3.6/site-packages/tensorflow/__init__.py", line 24, in <module>from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-importFile "/home/ubuntu/.local/lib/python3.6/site-packages/tensorflow/python/__init__.py", line 49, in <module>from tensorflow.python import pywrap_tensorflowFile "/home/ubuntu/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 74, in <module>raise ImportError(msg)
ImportError: Traceback (most recent call last):File "/home/ubuntu/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>from tensorflow.python.pywrap_tensorflow_internal import *File "/home/ubuntu/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>_pywrap_tensorflow_internal = swig_import_helper()File "/home/ubuntu/.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/local/python3/lib/python3.6/imp.py", line 243, in load_modulereturn load_dynamic(name, filename, file)File "/usr/local/python3/lib/python3.6/imp.py", line 343, in load_dynamicreturn _load(spec)
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directoryFailed to load the native TensorFlow runtime.See https://www.tensorflow.org/install/errorsfor some common reasons and solutions.  Include the entire stack trace
above this error message when asking for help.

直接使用Python可以执行，但是sudo或者crontab定时任务都无法正常运行。

使用find命令查找文件

find / -name libcublas.so.9.0

可以发现在我安装的目录下：/usr/local/cuda-9.0/lib64

google后，发现有个链接跟我遇到的情况很像:https://github.com/tensorflow/tensorflow/issues/15604

原来是动态链接库没有正常链接到，改正的方法就是在环境变量或者配置文件中添加。环境变量之前已经配过了，但是仍然不好使。

就尝试使用配置文件:

cat /etc/ld.so.confinclude /etc/ld.so.conf.d/*.conf

然后创建新的配置文件

vi /etc/ld.so.conf.d/cuda.conf添加如下内容：
/usr/local/cuda-9.0/lib64

再次执行ldconfig -v | grep libcu

ubuntu@ubuntu:/usr/local/cuda-9.0/lib64$ ldconfig -v | grep libcu
/sbin/ldconfig.real: Path `/usr/lib/nvidia-384' given more than once
/sbin/ldconfig.real: Path `/usr/lib32/nvidia-384' given more than once
/sbin/ldconfig.real: Path `/lib/x86_64-linux-gnu' given more than once
/sbin/ldconfig.real: Path `/usr/lib/x86_64-linux-gnu' given more than once
/sbin/ldconfig.real: /lib/x86_64-linux-gnu/ld-2.23.so is the dynamic linker, ignoringlibcufft.so.9.0 -> libcufft.so.9.0.176libcuinj64.so.9.0 -> libcuinj64.so.9.0.176libcurand.so.9.0 -> libcurand.so.9.0.176libcufftw.so.9.0 -> libcufftw.so.9.0.176libcudart.so.9.0 -> libcudart.so.9.0.176libcublas.so.9.0 -> libcublas.so.9.0.176libcusparse.so.9.0 -> libcusparse.so.9.0.176libcusolver.so.9.0 -> libcusolver.so.9.0.176libcudnn.so.7 -> libcudnn.so.7.4.1libcups.so.2 -> libcups.so.2

再次执行sudo python test.py就没问题了。